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Journal Articles

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2020

• Eriksson D, Schneck M, Schneider A, Coulon P, Diester I
  A starting kit for training and establishing in vivo electrophysiology, intracranial pharmacology, and optogenetics.
  2020 J Neurosci Methods, volume: 336, issue: 108636, pages: 1 - 12
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  Abstract

  Background In accordance with the three R principles of research, animal usage should be limited as much as possible. Especially for the training of entry-level scientists in surgical techniques underlying opto- and electrophysiology, alternative training tools are required before moving on to live animals. We have developed a cost-effective rat brain model for training a wide range of surgical techniques, including, but not limited to optogenetics, electrophysiology, and intracranial pharmacological treatments.
  
  
   
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• Saggio ML, Crisp D, Scott JM, Karoly P, Kuhlmann L, Nakatani M, Murai T, Dümpelmann M, Schulze-Bonhage A, Ikeda A, Cook M, Gliske SV, Lin J, Bernard C, Jirsa V, Stacey WC
  A taxonomy of seizure dynamotypes.
  2020 Elife, volume: 9, page: e55632
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  Abstract

  Seizures are a disruption of normal brain activity present across a vast range of species and conditions. We introduce an organizing principle that leads to the first objective Taxonomy of Seizure Dynamics (TSD) based on bifurcation theory. The ‘dynamotype’ of a seizure is the dynamic composition that defines its observable characteristics, including how it starts, evolves and ends. Analyzing over 2000 focal-onset seizures from multiple centers, we find evidence of all 16 dynamotypes predicted in TSD. We demonstrate that patients’ dynamotypes evolve during their lifetime and display complex but systematic variations including hierarchy (certain types are more common), non-bijectivity (a patient may display multiple types) and pairing preference (multiple types may occur during one seizure). TSD provides a way to stratify patients in complement to present clinical classifications, a language to describe the most critical features of seizure dynamics, and a framework to guide future research focused on dynamical properties.
• Grandjean J, Canella C, Anckaerts C, Ayrancı G, Bougacha S, Bienert T, Buehlmann D, Coletta L, Gallino D, Gass N, et al.
  Common functional networks in the mouse brain revealed by multi-centre resting-state fMRI analysis.
  2020 Neuroimage, volume: 205, issue: 116278, pages: 1 - 11
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  Abstract

  Preclinical applications of resting-state functional magnetic resonance imaging (rsfMRI) offer the possibility to non-invasively probe whole-brain network dynamics and to investigate the determinants of altered network signatures observed in human studies. Mouse rsfMRI has been increasingly adopted by numerous laboratories worldwide. Here we describe a multi-centre comparison of 17 mouse rsfMRI datasets via a common image processing and analysis pipeline. Despite prominent cross-laboratory differences in equipment and imaging procedures, we report the reproducible identification of several large-scale resting-state networks (RSN), including a mouse default-mode network, in the majority of datasets. A combination of factors was associated with enhanced reproducibility in functional connectivity parameter estimation, including animal handling procedures and equipment performance. RSN spatial specificity was enhanced in datasets acquired at higher field strength, with cryoprobes, in ventilated animals, and under medetomidine-isoflurane combination sedation. Our work describes a set of representative RSNs in the mouse brain and highlights key experimental parameters that can critically guide the design and analysis of future rodent rsfMRI investigations.
  
  
   
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• Zaveri HP, Schelter B, Schevon CA, Jiruska P, Jefferys JGR, Worrell G, Schulze-Bonhage A, Joshi RB, Jirsa V, Goodfellow M, Meisel C, Lehnertz K
  Controversies on the network theory of epilepsy: Debates held during the ICTALS 2019 conference.
  2020 Seizure-eur J Epilep, volume: 78, issue: 5, pages: 78 - 85
• Özcan OO, Wang X, Binda F, Dorgans K, de Zeeuw C, Gao Z, Aertsen A, Kumar A, Isope P
  Differential coding strategies in glutamatergic and GABAergic neurons in the medial cerebellar nucleus
  2020 JNeurosci, volume: 40, issue: 1, pages: 159 - 170
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  Abstract

  The cerebellum drives motor coordination and sequencing of actions at the millisecond timescale through adaptive control of cerebellar nuclear output. Cerebellar nuclei integrate high-frequency information from both the cerebellar cortex and the two main excitatory inputs of the cerebellum: the mossy fibers and the climbing fiber collaterals. However, how nuclear cells process rate and timing of inputs carried by these inputs is still debated. Here, we investigate the influence of the cerebellar cortical output, the Purkinje cells, on identified cerebellar nuclei neurons in vivo in male mice. Using transgenic mice expressing Channelrhodopsin2 specifically in Purkinje cells and tetrode recordings in the medial nucleus, we identified two main groups of neurons based on the waveform of their action potentials. These two groups of neurons coincide with glutamatergic and GABAergic neurons identified by optotagging after Chrimson expression in VGLUT2-cre and GAD-cre mice, respectively. The glutamatergic-like neurons fire at high rate and respond to both rate and timing of Purkinje cell population inputs, whereas GABAergic-like neurons only respond to the mean population firing rate of Purkinje cells at high frequencies. Moreover, synchronous activation of Purkinje cells can entrain the glutamatergic-like, but not the GABAergic-like, cells over a wide range of frequencies. Our results suggest that the downstream effect of synchronous and rhythmic Purkinje cell discharges depends on the type of cerebellar nuclei neurons targeted.
• Kim CM, Egert U, Kumar A
  Dynamics of multiple interacting excitatory and inhibitory populations with delays
  2020 Phys Rev E, volume: 102, page: 022308
  
   
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• Wiegel P, Kurz A, Leukel C
  Evidence that distinct human primary motor cortex circuits control discrete and rhythmic movements
  2020 J Physiol-london, volume: 598, pages: 1 - 6
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  Abstract

  Human actions entail discrete and rhythmic movements (DM and RM, respectively). Recent insights from human and animal studies indicate different neural control mechanisms for DM and RM, emphasizing the intrinsic nature of the task. However, how distinct human motor cortex circuits contribute to these movements remains largely unknown. In the present study, we tested distinct primary motor cortex and corticospinal circuits and proposed that they show differential excitability between DM and RM. Human subjects performed either 1) DM or 2) RM using their right wrist. We applied an advanced electrophysiological approach involving transcranial magnetic stimulation and peripheral nerve stimulation to test the excitability of the neural circuits. Probing was performed at different movement phases: movement initiation (MI, 20 ms after EMG onset) and movement execution (ME, 200 ms after EMG onset) of the wrist flexion. At MI, excitability at supragranular layers was significantly higher in DM than in RM. Conversely, excitability of more complex corticospinal circuits was significantly lower in DM than RM at ME. No task‐specific differences were found for direct corticospinal output neurons at infragranular layers. The neural differences could not be explained by the kinematic properties of the movements and also existed between ongoing RM and the last cycle of RM. Our results therefore strengthen the hypothesis that different neural control mechanisms engage in DM and RM.
• Rezaei H, Aertsen A, Kumar A, Validazeh A
  Facilitating the propagation of spiking activity in feedforward networks by including feedback
  2020 Plos Comput Biol, volume: 16, issue: 8, pages: 1 - 27
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  Abstract

  Transient oscillations in network activity upon sensory stimulation have been reported in different sensory areas of the brain. These evoked oscillations are the generic response of networks of excitatory and inhibitory neurons (EI-networks) to a transient external input. Recently, it has been shown that this resonance property of EI-networks can be exploited for communication in modular neuronal networks by enabling the transmission of sequences of synchronous spike volleys ('pulse packets'), despite the sparse and weak connectivity between the modules. The condition for successful transmission is that the pulse packet (PP) intervals match the period of the modules' resonance frequency. Hence, the mechanism was termed communication through resonance (CTR). This mechanism has three severe constraints, though. First, it needs periodic trains of PPs, whereas single PPs fail to propagate. Second, the inter-PP interval needs to match the network resonance. Third, transmission is very slow, because in each module, the network resonance needs to build up over multiple oscillation cycles. Here, we show that, by adding appropriate feedback connections to the network, the CTR mechanism can be improved and the aforementioned constraints relaxed. Specifically, we show that adding feedback connections between two upstream modules, called the resonance pair, in an otherwise feedforward modular network can support successful propagation of a single PP throughout the entire network. The key condition for successful transmission is that the sum of the forward and backward delays in the resonance pair matches the resonance frequency of the network modules. The transmission is much faster, by more than a factor of two, than in the original CTR mechanism. Moreover, it distinctly lowers the threshold for successful communication by synchronous spiking in modular networks of weakly coupled networks. Thus, our results suggest a new functional role of bidirectional connectivity for the communication in cortical area networks.
  
  
   
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• Karoly PJ, Cook MJ, Maturana M, Nurse ES, Payne D, Brinkmann BH, Grayden DB, Dumanis SB, Richardson MP, Worrell GA, Schulze-Bonhage A, Kuhlmann L, Freestone DR
  Forecasting cycles of seizure likelihood.
  2020 Epilepsia, volume: 61, issue: 4, pages: 776 - 786
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  Abstract

  Seizure unpredictability is rated as one of the most challenging aspects of living with epilepsy. Seizure likelihood can be influenced by a range of environmental and physiological factors that are difficult to measure and quantify. However, some generalizable patterns have been demonstrated in seizure onset. A majority of people with epilepsy exhibit circadian rhythms in their seizure times, and many also show slower, multiday patterns. Seizure cycles can be measured using a range of recording modalities, including self‐reported electronic seizure diaries. This study aimed to develop personalized forecasts from a mobile seizure diary app.
• Paschen E, Elgueta C, Heining K, Vieira DM, Kleis P, Orcinha C, Häussler U, Bartos M, Egert U, Janz P, Haas CA
  Hippocampal low-frequency stimulation prevents seizure generation in a mouse model of mesial temporal lobe epilepsy.
  2020 Elife, volume: 9, page: e54518
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  Abstract

  Mesial temporal lobe epilepsy (MTLE) is the most common form of focal, pharmacoresistant epilepsy in adults and is often associated with hippocampal sclerosis. Here, we established the efficacy of optogenetic and electrical low-frequency stimulation (LFS) in interfering with seizure generation in a mouse model of MTLE. Specifically, we applied LFS in the sclerotic hippocampus to study the effects on spontaneous subclinical and evoked generalized seizures. We found that stimulation at 1 Hz for 1 hr resulted in an almost complete suppression of spontaneous seizures in both hippocampi. This seizure-suppressive action during daily stimulation remained stable over several weeks. Furthermore, LFS for 30 min before a pro-convulsive stimulus successfully prevented seizure generalization. Finally, acute slice experiments revealed a reduced efficacy of perforant path transmission onto granule cells upon LFS. Taken together, our results suggest that hippocampal LFS constitutes a promising approach for seizure control in MTLE.
  
  
   
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• Göbel-Guéniot K, Gerlach J, Kamberger R, Leupold J, von Elverfeldt D, Hennig J, Korvink JG, Haas CA, LeVan P
  Histological correlates of diffusion-weighted magnetic resonance microscopy in a mouse model of mesial temporal lobe epilepsy.
  2020 Front Neurosci-switz, volume: 14, page: 543
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  Abstract

  Mesial temporal lobe epilepsy (MTLE) is the most common type of focal epilepsy. It is frequently associated with abnormal MRI findings, which are caused by underlying cellular, structural, and chemical changes at the micro-scale. In the current study, it is investigated to which extent these alterations correspond to imaging features detected by high resolution magnetic resonance imaging in the intrahippocampal kainate mouse model of MTLE. Fixed hippocampal and whole-brain sections of mouse brain tissue from nine animals under physiological and chronically epileptic conditions were examined using structural and diffusion-weighted MRI. Microstructural details were investigated based on a direct comparison with immunohistochemical analyses of the same specimen. Within the hippocampal formation, diffusion streamlines could be visualized corresponding to dendrites of CA1 pyramidal cells and granule cells, as well as mossy fibers and Schaffer collaterals. Statistically significant changes in diffusivities, fractional anisotropy, and diffusion orientations could be detected in tissue samples from chronically epileptic animals compared to healthy controls, corresponding to microstructural alterations (degeneration of pyramidal cells, dispersion of the granule cell layer, and sprouting of mossy fibers). The diffusion parameters were significantly correlated with histologically determined cell densities. These findings demonstrate that high-resolution diffusion-weighted MRI can resolve subtle microstructural changes in epileptic hippocampal tissue corresponding to histopathological features in MTLE.
• Novitskaya Y, Dümpelmann M, Vlachos A, Reinacher PC, Schulze-Bonhage A
  In vivo-assessment of the human temporal network: Evidence for asymmetrical effective connectivity.
  2020 Neuroimage, volume: 214, issue: 116769, pages: 1 - 12
• Gemein LAW, Schirrmeister RT, Chrabaszcz P, Wilson D, Boedecker J, Schulze-Bonhage A, Hutter F, Ball T
  Machine-Learning-Based Diagnostics of EEG Pathology.
  2020 Neuroimage, volume: 220, page: 117021
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  Abstract

  Machine learning (ML) methods have the potential to automate clinical EEG analysis. They can be categorized into feature-based (with handcrafted features), and end-to-end approaches (with learned features). Previous studies on EEG pathology decoding have typically analyzed a limited number of features, decoders, or both. For a I) more elaborate feature-based EEG analysis, and II) in-depth comparisons of both approaches, here we first develop a comprehensive feature-based framework, and then compare this framework to state-of-the-art end-to-end methods. To this aim, we apply the proposed feature-based framework and deep neural networks including an EEG-optimized temporal convolutional network (TCN) to the task of pathological versus non-pathological EEG classification. For a robust comparison, we chose the Temple University Hospital (TUH) Abnormal EEG Corpus (v2.0.0), which contains approximately 3000 EEG recordings. The results demonstrate that the proposed feature-based decoding framework can achieve accuracies on the same level as state-of-the-art deep neural networks. We find accuracies across both approaches in an astonishingly narrow range from 81 to 86%. Moreover, visualizations and analyses indicated that both approaches used similar aspects of the data, e.g., delta and theta band power at temporal electrode locations. We argue that the accuracies of current binary EEG pathology decoders could saturate near 90% due to the imperfect inter-rater agreement of the clinical labels, and that such decoders are already clinically useful, such as in areas where clinical EEG experts are rare. We make the proposed feature-based framework available open source and thus offer a new tool for EEG machine learning research.
  
  
   
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• Rosskothen-Kuhl N, Buck AN, Li K, Schnupp JW
  Microsecond Interaural Time Difference Discrimination Restored by Cochlear Implants After Neonatal Deafness.
  2020 BioRxiv, pages: 1 - 25
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  Abstract

  Cochlear implants (CIs) can restore a high degree of functional hearing in deaf patients butenable only poor spatial hearing or hearing in noise. Early deaf CI users are essentially completely insensitive to interaural time differences (ITDs). A dearth of binaural experienceduring an early critical period is often blamed for these shortcomings. However, here we show that neonatally deafened rats which are fitted with binaural CIs in early adulthood arehighly sensitive to ITDs immediately after implantation. Under binaural synchronized stimulation they can be trained to localize ITDs with essentially normal behavioral thresholds near 50 μs. This suggests that the deficits seen in human patients are unlikely to be caused by lack of experience during their period of deafness. It may instead be due to months or years of CI stimulation with inappropriate binaural parameters provided by CI processors which do not provide sub-millisecond temporal fine structure of sounds.
  
  
   
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• Boehler C, Vieira DM, Egert U, Asplund M
  NanoPt—a nanostructured electrode coating for neural recording and microstimulation
  2020 ACS Appl Mater Interfaces, volume: 12, pages: 14855 - 14865
• Sheikh BN, Guhathakurta S, Tsang TH, Schwabenland M, Renschler G, Herquel B, Bhardwaj V, Holz H, Stehle T, Bondareva O, et al.
  Neural metabolic imbalance induced by MOF dysfunction triggers pericyte activation and breakdown of vasculature.
  2020 Nat Cell Biol, volume: 22, pages: 828 - 841
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  Abstract

  Mutations in chromatin-modifying complexes and metabolic enzymes commonly underlie complex human developmental syndromes affecting multiple organs. A major challenge is to determine how disease-causing genetic lesions cause deregulation of homeostasis in unique cell types. Here we show that neural-specific depletion of three members of the non-specific lethal (NSL) chromatin complex-Mof, Kansl2 or Kansl3-unexpectedly leads to severe vascular defects and brain haemorrhaging. Deregulation of the epigenetic landscape induced by the loss of the NSL complex in neural cells causes widespread metabolic defects, including an accumulation of free long-chain fatty acids (LCFAs). Free LCFAs induce a Toll-like receptor 4 (TLR4)-NFκB-dependent pro-inflammatory signalling cascade in neighbouring vascular pericytes that is rescued by TLR4 inhibition. Pericytes display functional changes in response to LCFA-induced activation that result in vascular breakdown. Our work establishes that neurovascular function is determined by the neural metabolic environment.
• Donkels C, Peters M, Farina Nunez MT, Nakagawa J, Kirsch M, Vlachos A, Scheiwe C, Schulze-Bonhage A, Prinz M, Beck J, Haas CA
  Oligodendrocyte lineage and myelination are compromised in the gray matter of focal cortical dysplasia type IIa.
  2020 Epilepsia, volume: 61, issue: 1, pages: 171 - 184
  
   
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• Sadeghi Najafabadi M, Longtu C, Dutta K, Norris A, Feng B, Schnupp JW, Rosskothen-Kuhl N, Read H, Escabi M
  Optimal Multichannel Artifact Prediction and Removal for Brain Machine Interfaces and Neural Prosthetics.
  2020 Front Neurosci-switz, pages: 1 - 35
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  Abstract

  Neural implants that electrically stimulate neural tissue such as deep brain stimulators, cochlear implants (CI), and vagal nerve stimulators are becoming the routine treatment options for various diseases. Optimizing electrical stimulation paradigms requires closed-loop stimulation using simultaneous recordings of evoked neural activity in real time. Stimulus-evoked artifacts at the recording site are generally orders of magnitude larger than the neural signals, which challenge the interpretation of evoked neural activity. We developed a generalized artifact removal algorithm that can be applied in a variety of neural recording modalities. The procedure leverages known electrical stimulation currents to derive optimal filters that are used to predict and remove artifacts. We validated the procedure using paired recordings and electrical stimulation from sciatic nerve axons, high-rate bilateral CI stimulation, and concurrent multichannel stimulation in auditory midbrain and recordings in auditory cortex. We demonstrate a vast enhancement in the quality of recording even for high-throughput multi-site stimulation with typical improvements in the signal-to-noise ratio between 20-40 dB. The algorithm is efficient, can be scaled to arbitrary number of sites, and is applicable in range of recording modalities. It has numerous benefits over existing approaches and thus should be valuable for emerging neural recording and stimulation technologies.
  
  
   
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• Paschen E, Elgueta C, Heining K, Vieira D, Orcinha C, Häussler U, Bartos M, Egert U, Janz P, Haas CA
  Optogenetic low-frequency stimulation of dentate granule cells prevents seizure generation in experimental epilepsy.
  2020 BioRxiv, pages: 1 - 50
  
   
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• Herweg NA, Sharan AD, Sperling MR, Brandt A, Schulze-Bonhage A, Kahana MJ
  Reactivated spatial context guides episodic recall.
  2020 J Neurosci, volume: 40, issue: 10, pages: 2119 - 2128
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  Abstract

  The medial temporal lobe (MTL) is known as the locus of spatial coding and episodic memory, but the interaction between these cognitive domains as well as the extent to which they rely on common neurophysiological mechanisms is poorly understood. Here, we use intracranial electroencephalography and a hybrid spatial-episodic memory task (29 subjects, 15 female) to determine how spatial information is dynamically reactivated in subregions of the human MTL and how this reactivation guides recall of episodic information. Our results implicate theta oscillations across the MTL as a common neurophysiological substrate for spatial coding in navigation and episodic recall. We further show that our index of retrieved spatial context is high in the hippocampus (HC) in an early time window preceding recall. Closer to recall, it decreases in the HC and increases in the parahippocampal gyrus. Finally, we demonstrate that hippocampal theta phase modulates parahippocampal gamma amplitude during retrieval of spatial context, suggesting a role for cross-frequency coupling in coding and transmitting retrieved spatial information.
  
  
   
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• Karvat G, Schneider A, Alyahyay M, Steenbergen F, Tangermann M, Diester I
  Real-time detection of neural oscillation bursts allows behaviourally relevant neurofeedback.
  2020 Nature Communications Biology, volume: 3, page: 72
• Wiegel P, Leukel C
  Training of a discrete motor skill in humans is accompanied by increased excitability of the fastest corticospinal connections at movement onset
  2020 The Journal of Physiology, volume: 598, pages: 1 - 16
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  Abstract

  Key points: The primary motor cortex (M1) is fundamentally important for the acquisition of skilled motor behaviours. We tested the excitability changes of distinct M1 circuits at movement onset with TMS H-reflex conditioning. Human subjects trained a discrete spatiotemporal motor skill. Practice was associated with reduced kinematic variability and improved motor performance. Performance improvements were paralleled by task-specific excitability increases of the fastest corticospinal connections at infragranular layer 5b of M1. No task-related changes in excitability were observed at supragranular layers. Excitability changes in the fastest corticospinal connections were not directly related to changes in motor performance. Abstract: The primary motor cortex (M1) is fundamentally important for the acquisition of skilled motor behaviours. Recent advances in imaging and electrophysiological techniques have improved our understanding of M1 neural circuit modulation in rodents and non-human primates during motor learning. However, little remains known about the learning-related changes of distinct elements in the human brain. In this study, we tested excitability changes of different neural circuits (infragranular and supragranular layers) in the M1 of human subjects who underwent training in a discrete spatiotemporal motor skill. Excitability modulations were assessed by recording H-reflex facilitation from transcranial magnetic stimulation at movement onset. Motor practice improved the consistency of movements and was accompanied by an excitability increase of the fastest corticospinal connections during the initial stages of motor practice. No such excitability changes were observed for training in a simple motor skill and circuits at supragranular layers of M1. Notably, changes in excitability were not associated with changes in motor performance. Our findings could reflect learning-related increases in the recruitment and/or reorganisation of the fastest corticospinal connections. This article is protected by copyright. All rights reserved.
  
  
   
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• Zimmermann C, Schneider A, Alyahyay M, Brox T, Diester I
  freiPose: A deep learning framework for precise animal motion capture in 3D spaces.
  2020 BioRxiv, pages: 1 - 38
  
   
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• Lachner-Piza D, Jacobs J, Bruder JC, Schulze-Bonhage A, Stieglitz T, Duempelmann M
  utomatic detection of high-frequency-oscillations and their sub-groups co-occurring with interictal-epileptic-spikes.
  2020 J Neural Eng, page: 016030
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  Abstract

  Objective. High-frequency-oscillations (HFO) and interictal-epileptic-spikes (IES) are spatial biomarkers of the epileptogenic-zone. Those HFO spatially and temporally co-occurring with IES (IES-HFO) are potentially superior biomarkers, their use is however challenged by the difficulty in detecting the low amplitude HFO riding the high-amplitude and steep-waveform of IES. We aim to develop an automatic HFO detector with an improved performance with respect to current methods and that also correctly distinguishes IES-HFO from IES occurring in isolation (isol-IES). We also aim to validate the biomarker-value of the automatic detections by utilizing them to localize a surrogate of the epileptogenic-zone. Approach. We developed automatic-detectors of HFO-Ripples (80–250 Hz), HFO-FastRipples (250–500 Hz) and IES based on kernelized support-vector-machines (SVM). The training of the HFO-detectors was based on visually marked HFO and the parameter optimization during this training-process promoted the correct discernment between IES-HFO and isol-IES. Both HFO-detectors were benchmarked against other published detectors using databases with both visually marked and simulated gold-standards. The IES-detector was trained with a publicly available simulated database and tested against both simulated and visually marked gold-standards. To validate the detections' biomarker-value, the detectors were run on intracranial-EEGs from 8 patients and each with durations of 2–3 days, the detections' cumulated per-channel occurrence-rate was then used to predict the seizure-onset-zone as a surrogate of the epileptogenic-zone. Main results. The HFO-detectors obtained at least 21 more F1-score points than previously published algorithms at the lowest signal-to-noise-ratio. The success achieved when discerning between IES-HFO and isol-IES was comparable to that of other published algorithms. The automatically detected IES-HFO and IES-Ripples showed the best biomarker-value to localize the epileptogenic-zone. Significance. The developed detectors are publicly available and provide a reliable tool to further study HFO, IES-HFO and their value as biomarkers. The putative higher biomarker value from IES-HFO was validated on automatically-detected, long-term data.

2019

• Wülfing J, Kumar S, Boedecker J, Riedmiller M, Egert U
  Adaptive Long-term Control of Biological Neural Networks with Deep Reinforcement Learning
  2019 Neurocomputing, volume: 342, pages: 66 - 74
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  Abstract

  Driving activity patterns in the brain to desired levels is an important therapeutic strategy for many neurological disorders. The highly dynamic nature of neuronal networks and changes with disease progression create an urgent need for closed-loop control. Without adequate mathematical models of such complex networks, it remains unclear how tractable control problems can be formulated and solved for neurobiological systems. Reinforcement Learning (RL) is a promising tool to address such challenges, but has rarely been used for the long-term control of live, plastic neural networks. This is a difficult problem since it requires the controller to adapt to poorly characterized non-stationary background processes that alter stimulus-response relations over time. We captured these challenges in a novel control task, defined as clamping response strengths to predefined levels over long durations in a living model system, namely generic BNNs in vitro grown on microelectrode arrays. We show that by defining appropriate state-action spaces and employing powerful nonlinear RL methods such as Deep RL, adaptivity to non-stationary background processes can be achieved in a series of experiments: In 27/29 networks, the learned controllers were able to improve performance compared to a random and a (linear) LSPI controller by a large margin.
  
  
   
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• Koch S, Mueller S, Foddis M, Bienert T, von Elverfeldt D, Knab F, Farr TD, Bernard R, Dopatka M, Rex A, et al.
  Atlas registration for edema-corrected MRI lesion volume in mouse stroke models.
  2019 J Cereb Blood Flow Metab, volume: 39, pages: 313 - 323
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  Abstract

  Lesion volume measurements with magnetic resonance imaging are widely used to assess outcome in rodent models of stroke. In this study, we improved a mathematical framework to correct lesion size for edema which is based on manual delineation of the lesion and hemispheres. Furthermore, a novel MATLAB toolbox to register mouse brain MR images to the Allen brain atlas is presented. Its capability to calculate edema-corrected lesion size was compared to the manual approach. Automated image registration performed equally well in in a mouse middle cerebral artery occlusion model (Pearson r = 0.976, p = 2.265e-11). Information encapsulated in the registration was used to generate maps of edema induced tissue volume changes. These showed discrepancies to simplified tissue models underlying the manual approach. The presented techniques provide biologically more meaningful, voxel-wise biomarkers of vasogenic edema after stroke.
  
  
   
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• Mehring C, Akselrod M, Bashford L, Mace M, Choi H, Bluher M, Buschhoff AS, Pistohl T, Salomon R, Cheah A, Blanke O, Serino A, Burdet E
  Augmented manipulation ability in humans with six-fingered hands.
  2019 Nat Commun, volume: 10, issue: 1, pages: 2401 - 2401
• Lagzi F, Atay FM, Rotter S
  Bifurcation analysis of the dynamics of interacting subnetworks of a spiking network.
  2019 Sci Rep-uk, volume: 9, issue: 1, pages: 11397 - 11397
• Heining K, Kilias A, Janz P, Häussler U, Kumar A, Haas CA, Egert U
  Bursts with high and low load of epileptiform spikes show context-dependent correlations in epileptic mice.
  2019 eNeuro, volume: 6, issue: 5, pages: 1 - 14
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  Abstract

  Hypersynchronous network activity is the defining hallmark of epilepsy and manifests in a wide spectrum of phenomena of which electrographic activity during seizures is only one extreme. The aim of this study was to differentiate between different types of epileptiform activity patterns and investigate their temporal succession and interactions. We analyzed local field potentials from freely behaving male mice that had received an intrahippocampal kainate injection to model mesial temporal lobe epilepsy. Epileptiform spikes occurred in distinct bursts. Using machine learning, we derived a scale reflecting the spike load of bursts and three main burst categories that we labeled high-load, medium-load and low-load bursts. We found that bursts of these categories were non-randomly distributed in time. High-load bursts formed clusters and were typically surrounded by transition phases with increased rates of medium-load and low-load bursts. In apparent contradiction to this, increased rates of low-load bursts were also associated with elongated background phases, i.e. periods lacking high-load bursting. Furthermore, the rate of low-load bursts was more strongly correlated with the duration of background phases than the overall rate of epileptiform spikes. Our findings are consistent with the hypothesis that low-level epileptiform activity could promote network stability but could also participate in transitions towards major epileptiform events, depending on the current state of the network.
  
  
   
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• Filipovic M, Ketzef M, Reig R, Aertsen A, Silberberg G, Kumar A
  Direct Pathway Neurons in Mouse Dorsolateral Striatum In Vivo Receive Stronger Synaptic Input than Indirect Pathway Neurons.
  2019 J Neurophysiol
• Lachner-Piza D, Jacobs J, Schulze-Bonhage A, Stieglitz T, Dumpelmann M
  Estimation of the epileptogenic-zone with HFO sub-groups exhibiting various levels of epileptogenicity.
  2019 Conf Proc IEEE Eng Med Biol Soc, pages: 2543 - 2546
• Kurz A, Leukel C
  Excitability of Upper Layer Circuits Relates to Torque Output in Humans
  2019 Front Hum Neurosci, volume: 13, pages: 1 - 9
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  Abstract

  The relation between primary motor cortex (M1) activity and (muscular) force output has been studied extensively. Results from previous studies indicate that activity of a part of yet unidentified neurons in M1 are positively correlated with increased force levels. One considerable candidate causing this positive correlation could be circuits at supragranular layers. Here we tested this hypothesis and used the combination of H-reflexes with transcranial magnetic stimulation (TMS) to investigate laminar associations with force output in human subjects. Excitability of different M1 circuits were probed at movement onset and at peak torque while participants performed auxotonic contractions of the wrist with different torque levels. Only at peak torque we found a significant positive correlation between excitability of M1 circuits most likely involving neurons at supragranular layers and joint torque level. We argue that this finding may relate to the special role of upper layer circuits in integrating (force-related) afferent feedback and their connectivity with task-relevant pyramidal and also extrapyramidal pathways projecting to motoneurones in the spinal cord.
• Tulke S, Haas CA, Häussler U
  Expression of brain-derived neurotrophic factor and structural plasticity in the dentate gyrus and CA2 region correlate with epileptiform activity.
  2019 Epilepsia, volume: 60, pages: 1234 - 1247
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  Abstract

  Objective Hippocampal sclerosis is a hallmark of mesial temporal lobe epilepsy (MTLE), comprising gliosis and neuronal loss in the hippocampus. However, dentate granule cells and CA2 pyramidal cells (PCs) survive, as they share physiological characteristics that may render them less sensitive to hyperexcitation in MTLE. Here, we asked whether both engage similar molecular plasticity mechanisms to support their resilience in MTLE. We chose brain‐derived neurotrophic factor (BDNF), correlated the expression with activity, and used neuropeptide Y (NPY) and principal cell dispersion as plasticity readout.
• Spreizer S, Aertsen A, Kumar A
  From space to time: Spatial inhomogeneities lead to the emergence of spatiotemporal sequences in spiking neuronal networks.
  2019 Plos Comput Biol, volume: 15, issue: 10, pages: e1007432 - e1007432
• De La Crompe B, Coulon P, Diester I
  Functional interrogation of neural circuits with virally transmitted optogenetic tools.
  2019 J Neurosci Meth, volume: 345, issue: 108905, pages: 1 - 15
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  Abstract

  The vertebrate brain comprises a plethora of cell types connected by intertwined pathways. Optogenetics enriches the neuroscientific tool set for disentangling these neuronal circuits in a manner which exceeds the spatio-temporal precision of previously existing techniques. Technically, optogenetics can be divided in three types of optical and genetic combinations: (1) it is primarily understood as the manipulation of the activity of genetically modified cells (typically neurons) with light, i.e. optical actuators. (2) A second combination refers to visualizing the activity of genetically modified cells (again typically neurons), i.e. optical sensors. (3) A completely different interpretation of optogenetics refers to the light activated expression of a genetically induced construct. Here, we focus on the first two types of optogenetics, i.e. the optical actuators and sensors in an attempt to give an overview into the topic. We first cover methods to express opsins into neurons and introduce strategies of targeting specific neuronal populations in different animal species. We then summarize combinations of optogenetics with behavioral read out and neuronal imaging. Finally, we give an overview of the current state-of-the-art and an outlook on future perspectives.
• Schönberger J, Birk N, Lachner-Piza D, Dümpelmann M, Schulze-Bonhage A, Jacobs J
  High-frequency oscillations mirror severity of human temporal lobe seizures.
  2019 Ann Clin Transl Neur, volume: 6, issue: 12, pages: 2479 - 2488
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  Abstract

  Objective: Many patients with epilepsy have both focal and bilateral tonic‐clonic seizures (BTCSs), but it is largely unclear why ictal activity spreads only sometimes. Previous work indicates that interictal high‐frequency oscillations (HFOs), traditionally subdivided into ripples (80–250 Hz) and fast ripples (250–500 Hz), are a promising biomarker of epileptogenicity. We aimed to investigate whether HFOs correlate with the emergence of seizure activity and whether they differ between focal seizures (FSs) with impaired awareness and BTCSs.
  
  
   
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• Kunz L, Wang L, Lachner-Piza D, Zhang H, Brandt A, Dumpelmann M, Reinacher PC, Coenen VA, Chen D, Wang WX, Zhou W, Liang S, Grewe P, Bien CG, Bierbrauer A, Navarro Schroder T, Schulze-Bonhage A, Axmacher N
  Hippocampal theta phases organize the reactivation of large-scale electrophysiological representations during goal-directed navigation.
  2019 Sci Adv, volume: 5, issue: 17, pages: eaav8192 - eaav8192
  
   
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• Okujeni S, Egert U
  Inhomogeneities in Network Structure and Excitability Govern Initiation and Propagation of Spontaneous Burst Activity.
  2019 Front Neurosci-switz, volume: 13, pages: 543 - 543
• Alexander DM, Ball T, Schulze-Bonhage A, van Leeuwen C
  Large-scale cortical travelling waves predict localized future cortical signals.
  2019 Plos Comput Biol, volume: 15, issue: 11, page: e1007316
• Schwabenland M, Mossad O, Peres AG, Kessler F, Maron FJM, Harsan LA, Bienert T, von Elverfeldt D, Knobeloch KP, Staszewski O, et al.
  Loss of USP18 in microglia induces white matter pathology.
  2019 Acta Neuropathol Commun, volume: 7, page: 106
• Li K, Chan CHK, Rajendrana VG, Rosskothen-Kuhl N, Schnupp JWH
  Microsecond Interaural Time Difference Sensitivity In Rats.
  2019 JASA, volume: EL341, pages: 1 - 37
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  Abstract

  Cochlear implants (CIs) can restore a high degree of functional hearing in deaf patients however spatial hearing remains poor, with many early deaf CI users reported to have no measurable sensitivity to interaural time differences (ITDs) at all. Deprivation of binaural experience during an early critical period is often blamed for this shortcoming. However, we show that neonatally deafened rats provided with precisely synchronized CI stimulation in adulthood can be trained to localize ITDs with essentially normal behavioral thresholds near 50 μs. Furthermore, neonatally deaf rats show high physiological sensitivity to ITDs immediately after binaural implantation in adulthood. The fact that our neonatally deaf CI rats achieved very good behavioral ITD thresholds while prelingually deaf human CI patients usually fail to develop a useful sensitivity to ITD raises urgent questions about whether shortcomings in technology or treatment may be behind the usually poor binaural outcomes for current binaural CI patients.
• Jakob TF, Illing RB, Rosskothen-Kuhl N
  Monaural Neonatal Deafness Induces Inhibition among Bilateral Auditory Networks under Binaural Activation.
  2019 Neuroscience, volume: 400, pages: 1 - 16
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  Abstract

  Worldwide, almost 500 million people are hearing impaired, making hearing loss the most common sensory impairment among humans. For people with single-sided deafness (SSD), cochlear implants (CIs) can be enormously beneficial by providing binaural information. However, binaural benefits in CI users have been only incompletely realized. Overcoming these limitations requires a better knowledge of how neuronal circuits adapt to SSD and how unilateral CI stimulation can compensate a deaf ear. We investigated effects of neonatal SSD on auditory brainstem circuitry using acoustic (AS), electric (ES), or acoustic stimulation on one ear and electric stimulation on the other ear (AS + ES). The molecular marker Fos was used to investigate changes in interneuronal communication due to SSD. To induce SSD, neonatal rats obtained a unilateral intracochlear injection of neomycin. In adulthood, rats were acutely stimulated by AS, ES, or AS + ES. AS and ES were applied correspondingly in terms of intracochlear stimulation side and intensity resulting in bilaterally comparable Fos expression in hearing rats. In contrast, SSD rats showed a loss of tonotopic order along the deafened pathway, indicated by a massive increase and spread of Fos expressing neurons. We report three major results: First, AS of the hearing ear of SSD rats resulted in bilateral activation of neurons in the cochlear nucleus (CN). Second, ES of the deaf ear did not activate contralateral CN. Third, AS + ES of SSD rats resulted in bilateral reduced Fos expression in the auditory brainstem compared to monaural stimulations. These findings indicate changes in inhibitory interactions among neuronal networks as a result of monaural deafness.
• Lu H, Gallinaro J, Rotter S
  Network remodeling induced by transcranial brain stimulation: A computational model of tDCS-triggered cell assembly formation
  2019 Network Neuroscience, volume: 3, issue: 4, pages: 924 - 943
  » show abstract« hide abstract
  Abstract

  Transcranial direct current stimulation (tDCS) is a variant of noninvasive neuromodulation, which promises treatment for brain diseases like major depressive disorder. In experiments, long-lasting aftereffects were observed, suggesting that persistent plastic changes are induced. The mechanism underlying the emergence of lasting aftereffects, however, remains elusive. Here we propose a model, which assumes that tDCS triggers a homeostatic response of the network involving growth and decay of synapses. The cortical tissue exposed to tDCS is conceived as a recurrent network of excitatory and inhibitory neurons, with synapses subject to homeostatically regulated structural plasticity. We systematically tested various aspects of stimulation, including electrode size and montage, as well as stimulation intensity and duration. Our results suggest that transcranial stimulation perturbs the homeostatic equilibrium and leads to a pronounced growth response of the network. The stimulated population eventually eliminates excitatory synapses with the unstimulated population, and new synapses among stimulated neurons are grown to form a cell assembly. Strong focal stimulation tends to enhance the connectivity within new cell assemblies, and repetitive stimulation with well-chosen duty cycles can increase the impact of stimulation even further. One long-term goal of our work is to help in optimizing the use of tDCS in clinical applications.
  
  
   
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• Kurz A, Xu W, Wiegel P, Leukel C, N Baker S
  Non-invasive assessment of superficial and deep layer circuits in human motor cortex.
  2019 J Physiol-london, volume: 597, issue: 12, pages: 2975 - 2991
• Merkt B, Schussler F, Rotter S
  Propagation of orientation selectivity in a spiking network model of layered primary visual cortex.
  2019 Plos Comput Biol, volume: 15, issue: 7, pages: e1007080 - e1007080
• Böhm T, Joseph K, Kirsch M, Moroni R, Hilger A, Osenberg M, Manke I, Johnston M, Stieglitz T, Hofmann UG, Haas CA, Thiele S
  Quantitative synchrotron X‐ray tomography of the material‐tissue interface in rat cortex implanted with neural probes.
  2019 Sci Rep-uk, volume: 9, page: 7646
  
   
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• Okujeni S, Egert U
  Self-organization of modular network architecture by activity-dependent neuronal migration and outgrowth
  2019 Elife, volume: 8, page: e47996
• Eriksson D, Heiland M, Schneider A, Diester I
  Slow and fast cortical dynamics distinguish motor planning and execution.
  2019 BioRxiv, pages: 1 - 31
  » show abstract« hide abstract
  Abstract

  The smooth conduction of movements requires simultaneous motor planning and execution according to internal goals. So far it is not known how such movement plans can be modified without being distorted by ongoing movements. Previous studies have isolated planning and execution related neuronal activity by separating behavioral planning and movement periods in time by sensory cues1–7. Here, we introduced two novel tasks in which motor planning developed intrinsically. We separated this continuous self-paced motor planning statistically from motor execution by experimentally minimizing the repetitiveness of the movements. Thereby, we found that in the rat sensorimotor cortex, neuronal motor planning processes evolved with slower dynamics than movement related responses both on a sorted unit and population level. The fast evolving neuronal activity preceded skilled forelimb movements while it coincided with movements in a locomotor task. We captured this fast evolving movement related activity via a high-pass filter approach. As biological mechanism underlying such a high pass filtering we suggest neuronal adaption. The differences in dynamics combined with a high pass filtering mechanism represents a simple principle for concurrent motor planning and execution in which planning will result in relatively slow dynamics that will not produce movements.
  
  
   
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2018

• Heizmann S, Kilias A, Ruther P, Egert U, Asplund M
  Active Control of Dye Release for Neuronal Tracing Using PEDOT-PSS Coated Electrodes.
  2018 Ieee T Neur Sys Reh, volume: 26, issue: 2, pages: 299 - 306
• Niemann N, Wiegel P, Kurz A, Rothwell JC, Leukel C
  Assessing TMS-induced D and I waves with spinal H-reflexes.
  2018 J Neurophysiol, volume: 119, issue: 3, pages: 933 - 943
• Gallinaro JV, Rotter S
  Associative properties of structural plasticity based on firing rate homeostasis in recurrent neuronal networks.
  2018 Sci Rep-uk, volume: 8, issue: 1, pages: 3754 - 3754
• Buccino AP, Kordovan M, Ness TV, Merkt B, Hafliger PD, Fyhn M, Cauwenberghs G, Rotter S, Einevoll GT
  Combining biophysical modeling and deep learning for multielectrode array neuron localization and classification.
  2018 J Neurophysiol, volume: 120, issue: 3, pages: 1212 - 1232
• Schmeiser B, Steinhoff BJ, Schulze-Bonhage A
  Does early postoperative drug regimen impact seizure control in patients undergoing temporal lobe resections?
  2018 J Neurol, volume: 265, issue: 3, pages: 500 - 509
• Wiegel P, Niemann N, Rothwell JC, Leukel C
  Evidence for a subcortical contribution to intracortical facilitation
  2018 Eur J Neurosci, volume: 47, issue: 11, pages: 1311 - 1319
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  Abstract

  Intracortical facilitation (ICF) describes the facilitation of an EMG response (motor evoked potential) to a suprathreshold pulse (S2) of transcranial magnetic stimulation (TMS) by a preceding subthreshold pulse (S1) given 10 to 15 ms earlier. ICF is widely assumed to originate from intracortical mechanisms. In the present study, we used spinal H‐reflexes to test whether subcortical mechanisms can also contribute to the facilitation. Measurements were performed in the upper limb muscle flexor carpi radialis (FCR) in 17 healthy volunteers, and in the lower limb muscle soleus (SOL) in 16 healthy volunteers. S2 given alone facilitated the H‐reflex. When S1 preceded S2 by 10 ms, the amount of facilitation increased, compatible with ICF. However, S1 given alone also facilitated the H‐reflex, suggesting that it had evoked descending activity even though its intensity was well below resting motor threshold. Across participants, the amount of H‐reflex facilitation from S1 alone was proportional to the degree of H‐reflex facilitation with combined S1‐S2. These results indicate that subcortical mechanisms can contribute to ICF and potentially add to the variability of the ICF measure reported in previous studies. This article is protected by copyright. All rights reserved.
• Schiefer J, Niederbuhl A, Pernice V, Lennartz C, Hennig J, LeVan P, Rotter S
  From correlation to causation: Estimating effective connectivity from zero-lag covariances of brain signals.
  2018 Plos Comput Biol, volume: 14, issue: 3, pages: e1006056 - e1006056
• Kupper R, Schmuker M, Aertsen A, Wachtler T, Koerner U, Gewaltig MO
  How the visual system can detect feature homogeneity from spike latencies
  2018 Neurons and Cognition, pages: 1 - 27
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  Abstract

  We propose that homogeneous image regions may be used to quickly segment a visual scene, when an object hypothesis is not yet available. In a cooperative model of the konio-cellular and the parvo- or magno-cellular visual pathway of primates, we demonstrate how homogeneity-selective responses can be gained from LGN neurons using a spike-latency code, and how these responses can confine edge detection to borders between mid-sized objects. We propose that spike-latency-based homogeneity detection is a general neural principle that may apply to any sensory feature and modality. The mechanism is sensitive to exact spike timing, which makes it vulnerable to noise. Nevertheless we demonstrate how the mechanism can be made robust against realistic levels of neural cross talk in the brain. We show that biphasic synaptic events do yield very sharp post synaptic currents that maintain good separation of homogeneity responses in massively noisy environments. The same technique opens up a neural method of tuning neurons to varying degrees of homogeneity. The simple neural implementation, generality, robustness, and variable tuning make homogeneity-detection an attractive scheme of computation in spiking neural networks and in the brain.
  
  
   
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• Sellmeijer J, Mathis V, Hugel S, Li XH, Song Q, Chen QY, Barthas F, Lutz PE, Karatas M, Luthi A, Veinante P, Aertsen A, Barrot M, Zhuo M, Yalcin I
  Hyperactivity of Anterior Cingulate Cortex Areas 24a/24b Drives Chronic
  2018 J Neurosci, volume: 38, issue: 12, pages: 3102 - 3115
• Rudmann L, Alt MT, Ashouri Vajari D, Stieglitz T
  Integrated optoelectronic microprobes.
  2018 Curr Opin Neurobiol, volume: 50, pages: 72 - 82
• Gkogkidis CA, Bentler C, Wang X, Gierthmuehlen M, Scheiwe C, Schmitz HC, Haberstroh J, Stieglitz T, Ball T
  Neurophysiological Evaluation of a Customizable muECoG-based Wireless Brain Implant.
  2018 Conf Proc IEEE Eng Med Biol Soc, volume: 2018, pages: 2953 - 2956
• Kilias A, Canales A, Froriep UP, Park S, Egert U, Anikeeva P
  Optogenetic entrainment of neural oscillations with hybrid fiber probes.
  2018 J Neural Eng, volume: 15, issue: 5, pages: 056006 - 056006
• Hainmueller T, Bartos M
  Parallel emergence of stable and dynamic memory engrams in the hippocampus.
  2018 Nature, volume: 558, issue: 7709, pages: 292 - 296
• Hahn G, Ponce-Alvarez A, Deco G, Aertsen A, Kumar A
  Portraits of communication in neuronal networks.
  2018 Nat Rev Neurosci, volume: 20, issue: 2, pages: 117 - 127
• Janz P, Hauser P, Heining K, Nestel S, Kirsch M, Egert U, Haas CA
  Position- and Time-Dependent Arc Expression Links Neuronal Activity to Synaptic Plasticity During Epileptogenesis.
  2018 Front Cell Neurosci, volume: 12, pages: 244 - 244
• Glanz Iljina O, Derix J, Kaur R, Schulze-Bonhage A, Auer P, Aertsen A, Ball T
  Real-life speech production and perception have a shared premotor-cortical substrate.
  2018 Sci Rep-uk, volume: 8, issue: 1, pages: 8898 - 8898
• Mahmoodi A, Bahrami B, Mehring C
  Reciprocity of social influence.
  2018 Nat Commun, volume: 9, issue: 1, pages: 2474 - 2474
• Sauer JF, Struber M, Bartos M
  Recording Spatially Restricted Oscillations in the Hippocampus of Behaving Mice.
  2018 Jove-j Vis Exp, issue: 137
• Ziegler-Waldkirch S, d'Errico P, Sauer JF, Erny D, Savanthrapadian S, Loreth D, Katzmarski N, Blank T, Bartos M, Prinz M, Meyer-Luehmann M
  Seed-induced Abeta deposition is modulated by microglia under environmental enrichment in a mouse model of Alzheimer's disease.
  2018 Embo J, volume: 37, issue: 2, pages: 167 - 182
• Donos C, Maliia MD, Dumpelmann M, Schulze-Bonhage A
  Seizure onset predicts its type.
  2018 Epilepsia, volume: 59, issue: 3, pages: 650 - 660
• Lennartz C, Schiefer J, Rotter S, Hennig J, LeVan P
  Sparse Estimation of Resting-State Effective Connectivity From fMRI Cross-Spectra.
  2018 Front Neurosci-switz, volume: 12, pages: 287 - 287
• Heers M, Helias M, Hedrich T, Dumpelmann M, Schulze-Bonhage A, Ball T
  Spectral bandwidth of interictal fast epileptic activity characterizes the seizure onset zone.
  2018 Neuroimage-clin, volume: 17, pages: 865 - 872
• Kilias A, Haussler U, Heining K, Froriep UP, Haas CA, Egert U
  Theta frequency decreases throughout the hippocampal formation in a focal epilepsy model.
  2018 Hippocampus, volume: 28, issue: 6, pages: 375 - 391

2017

• Schulze-Bonhage A
  A 2017 review of pharmacotherapy for treating focal epilepsy: where are we now and how will treatment develop?
  2017 Expert Opin Pharmaco, volume: 18, issue: 17, pages: 1845 - 1853
• Hardung S, Epple R, Jackel Z, Eriksson D, Uran C, Senn V, Gibor L, Yizhar O, Diester I
  A Functional Gradient in the Rodent Prefrontal Cortex Supports Behavioral Inhibition.
  2017 Curr Biol, volume: 27, issue: 4, pages: 549 - 555
• Hardung S, Alyahyay M, Eriksson D, Diester I
  A Toolbox for Optophysiological Experiments in Freely Moving Rats.
  2017 Front Syst Neurosci, volume: 11, pages: 27 - 27
• Spreizer S, Angelhuber M, Bahuguna J, Aertsen A, Kumar A
  Activity Dynamics and Signal Representation in a Striatal Network Model with Distance-Dependent Connectivity.
  2017 eNeuro, volume: 4, issue: 4
• Nakagawa JM, Donkels C, Fauser S, Schulze-Bonhage A, Prinz M, Zentner J, Haas CA
  Characterization of focal cortical dysplasia with balloon cells by layer-specific markers: Evidence for differential vulnerability of interneurons.
  2017 Epilepsia, volume: 58, issue: 4, pages: 635 - 645
• Struber M, Sauer JF, Jonas P, Bartos M
  Distance-dependent inhibition facilitates focality of gamma oscillations in the dentate gyrus.
  2017 Nat Commun, volume: 8, issue: 1, pages: 758 - 758
• Mothes H, Leukel C, Seelig H, Fuchs R
  Do placebo expectations influence perceived exertion during physical exercise?
  2017 Plos One, volume: 12, issue: 6, pages: e0180434 - e0180434
• Janz P, Schwaderlapp N, Heining K, Haussler U, Korvink JG, von Elverfeldt D, Hennig J, Egert U, LeVan P, Haas CA
  Early tissue damage and microstructural reorganization predict disease severity in experimental epilepsy.
  2017 Elife, volume: 6
• Mothes H, Leukel C, Jo HG, Seelig H, Schmidt S, Fuchs R
  Expectations affect psychological and neurophysiological benefits even after a single bout of exercise.
  2017 J Behav Med, volume: 40, issue: 2, pages: 293 - 306
• Doussau F, Schmidt H, Dorgans K, Valera AM, Poulain B, Isope P
  Frequency-dependent mobilization of heterogeneous pools of synaptic vesicles shapes presynaptic plasticity.
  2017 Elife, volume: 6
• Bahuguna J, Tetzlaff T, Kumar A, Hellgren Kotaleski J, Morrison A
  Homologous Basal Ganglia Network Models in Physiological and Parkinsonian Conditions.
  2017 Front Comput Neurosc, volume: 11, pages: 79 - 79
• Belic JJ, Kumar A, Hellgren Kotaleski J
  Interplay between periodic stimulation and GABAergic inhibition in striatal network oscillations.
  2017 Plos One, volume: 12, issue: 4, pages: e0175135 - e0175135
• Wang X, Gkogkidis CA, Iljina O, Fiederer LDJ, Henle C, Mader I, Kaminsky J, Stieglitz T, Gierthmuehlen M, Ball T
  Mapping the fine structure of cortical activity with different micro-ECoG electrode array geometries.
  2017 J Neural Eng, volume: 14, issue: 5, pages: 056004 - 056004
• Okujeni S, Kandler S, Egert U
  Mesoscale Architecture Shapes Initiation and Richness of Spontaneous Network Activity.
  2017 J Neurosci, volume: 37, issue: 14, pages: 3972 - 3987
• McIntosh JR, Mehring C
  Modifying response times in the Simon task with transcranial random noise stimulation.
  2017 Sci Rep-uk, volume: 7, issue: 1, pages: 15633 - 15633
• Gremmelspacher T, Gerlach J, Hubbe A, Haas CA, Haussler U
  Neurogenic Processes Are Induced by Very Short Periods of Voluntary Wheel-Running in Male Mice.
  2017 Front Neurosci-switz, volume: 11, pages: 385 - 385
• Muller O, Rotter S
  Neurotechnology: Current Developments and Ethical Issues.
  2017 Front Syst Neurosci, volume: 11, pages: 93 - 93
• Arefin TM, Mechling AE, Meirsman AC, Bienert T, Hubner NS, Lee HL, Ben Hamida S, Ehrlich A, Roquet D, Hennig J, von Elverfeldt D, Kieffer BL, Harsan LA
  Remodeling of Sensorimotor Brain Connectivity in Gpr88-Deficient Mice.
  2017 Brain Connect, volume: 7, issue: 8, pages: 526 - 540
• Mirzaei A, Kumar A, Leventhal D, Mallet N, Aertsen A, Berke J, Schmidt R
  Sensorimotor Processing in the Basal Ganglia Leads to Transient Beta Oscillations during Behavior.
  2017 J Neurosci, volume: 37, issue: 46, pages: 11220 - 11232
• Mirzaei A, Kumar A, Leventhal D, Mallet N, Aertsen A, Berke J, Schmidt R
  Sensorimotor Processing in the Basal Ganglia Leads to Transient Beta Oscillations during Behavior.
  2017 J Neurosci, volume: 37, issue: 46, pages: 11220 - 11232
• Deniz T, Rotter S
  Solving the two-dimensional Fokker-Planck equation for strongly correlated neurons.
  2017 Phys Rev E, volume: 95, issue: 1-1, pages: 012412 - 012412
• Yuan M, Meyer T, Benkowitz C, Savanthrapadian S, Ansel-Bollepalli L, Foggetti A, Wulff P, Alcami P, Elgueta C, Bartos M
  Somatostatin-positive interneurons in the dentate gyrus of mice provide local and long-range septal synaptic inhibition.
  2017 Elife, volume: 6
• Hahn G, Ponce-Alvarez A, Monier C, Benvenuti G, Kumar A, Chavane F, Deco G, Fregnac Y
  Spontaneous cortical activity is transiently poised close to criticality.
  2017 Plos Comput Biol, volume: 13, issue: 5, pages: e1005543 - e1005543
• Janz P, Savanthrapadian S, Haussler U, Kilias A, Nestel S, Kretz O, Kirsch M, Bartos M, Egert U, Haas CA
  Synaptic Remodeling of Entorhinal Input Contributes to an Aberrant Hippocampal Network in Temporal Lobe Epilepsy.
  2017 Cereb Cortex, volume: 27, issue: 3, pages: 2348 - 2364
• Duarte R, Seeholzer A, Zilles K, Morrison A
  Synaptic patterning and the timescales of cortical dynamics.
  2017 Curr Opin Neurobiol, volume: 43, pages: 156 - 165
• Hubner NS, Mechling AE, Lee HL, Reisert M, Bienert T, Hennig J, von Elverfeldt D, Harsan LA
  The connectomics of brain demyelination: Functional and structural patterns in the cuprizone mouse model.
  2017 Neuroimage, volume: 146, pages: 1 - 18
• Stowers JR, Hofbauer M, Bastien R, Griessner J, Higgins P, Farooqui S, Fischer RM, Nowikovsky K, Haubensak W, Couzin ID, Tessmar-Raible K, Straw AD
  Virtual reality for freely moving animals.
  2017 Nat Methods, volume: 14, issue: 10, pages: 995 - 1002
• Donkels C, Pfeifer D, Janz P, Huber S, Nakagawa J, Prinz M, Schulze-Bonhage A, Weyerbrock A, Zentner J, Haas CA
  Whole Transcriptome Screening Reveals Myelination Deficits in Dysplastic Human Temporal Neocortex.
  2017 Cereb Cortex, volume: 27, issue: 2, pages: 1558 - 1572

2016

• Panser, K, Tirian, L, Schulze, F, Villalba, S, Jefferis, G, Bühler, K, Straw, A
  Automatic segmentation of Drosophila neural compartments using GAL4 expression data reveals novel visual pathways.
  2016 Curr Biol, volume: 26, issue: 15, pages: 1943 - 1954
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  Abstract

  Identifying distinct anatomical structures within the brain and developing genetic tools to target them are fundamental steps for understanding brain function. We hypothesize that enhancer expression patterns can be used to automatically identify functional units such as neuropils and fiber tracts. We used two recent, genome-scale Drosophila GAL4 libraries and associated confocal image datasets to segment large brain regions into smaller subvolumes. Our results (available at https://strawlab.org/braincode) support this hypothesis because regions with well-known anatomy, namely the antennal lobes and central complex, were automatically segmented into familiar compartments. The basis for the structural assignment is clustering of voxels based on patterns of enhancer expression. These initial clusters are agglomerated to make hierarchical predictions of structure. We applied the algorithm to central brain regions receiving input from the optic lobes. Based on the automated segmentation and manual validation, we can identify and provide promising driver lines for 11 previously identified and 14 novel types of visual projection neurons and their associated optic glomeruli. The same strategy can be used in other brain regions and likely other species, including vertebrates.
  
  
   
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• Kumar, SS, Wülfing, J, Okujeni, S, Boedecker, J, Riedmiller, M, Egert, U
  Autonomous Optimization of Targeted Stimulation of Neuronal Networks.
  2016 Plos Comput Biol, volume: 12, issue: 8, page: e1005054
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  Abstract

  Driven by clinical needs and progress in neurotechnology, targeted interaction with neuronal networks is of increasing importance. Yet, the dynamics of interaction between intrinsic ongoing activity in neuronal networks and their response to stimulation is unknown. Nonetheless, electrical stimulation of the brain is increasingly explored as a therapeutic strategy and as a means to artificially inject information into neural circuits. Strategies using regular or event-triggered fixed stimuli discount the influence of ongoing neuronal activity on the stimulation outcome and are therefore not optimal to induce specific responses reliably. Yet, without suitable mechanistic models, it is hardly possible to optimize such interactions, in particular when desired response features are network-dependent and are initially unknown. In this proof-of-principle study, we present an experimental paradigm using reinforcement-learning (RL) to optimize stimulus settings autonomously and evaluate the learned control strategy using phenomenological models. We asked how to (1) capture the interaction of ongoing network activity, electrical stimulation and evoked responses in a quantifiable ‘state’ to formulate a well-posed control problem, (2) find the optimal state for stimulation, and (3) evaluate the quality of the solution found. Electrical stimulation of generic neuronal networks grown from rat cortical tissue in vitro evoked bursts of action potentials (responses). We show that the dynamic interplay of their magnitudes and the probability to be intercepted by spontaneous events defines a trade-off scenario with a network-specific unique optimal latency maximizing stimulus efficacy. An RL controller was set to find this optimum autonomously. Across networks, stimulation efficacy increased in 90% of the sessions after learning and learned latencies strongly agreed with those predicted from open-loop experiments. Our results show that autonomous techniques can exploit quantitative relationships underlying activity-response interaction in biological neuronal networks to choose optimal actions. Simple phenomenological models can be useful to validate the quality of the resulting controllers.
  
  
   
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• Kraus, D, Naros, G, Bauer, R, Leão, MT, Ziemann, U, Gharabaghi, A
  Brain-robot interface driven plasticity: Distributed modulation of corticospinal excitability.
  2016 Neuroimage, volume: 125, pages: 522 - 532
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  Abstract

  Brain-robot interfaces (BRI) are studied as novel interventions to facilitate functional restoration in patients with severe and persistent motor deficits following stroke. They bridge the impaired connection in the sensorimotor loop by providing brain-state dependent proprioceptive feedback with orthotic devices attached to the hand or arm of the patients. The underlying neurophysiology of this BRI neuromodulation is still largely unknown. We investigated changes of corticospinal excitability with transcranial magnetic stimulation in thirteen right-handed healthy subjects who performed 40min of kinesthetic motor imagery receiving proprioceptive feedback with a robotic orthosis attached to the left hand contingent to event-related desynchronization of the right sensorimotor cortex in the β-band (16-22Hz). Neural correlates of this BRI intervention were probed by acquiring the stimulus-response curve (SRC) of both motor evoked potential (MEP) peak-to-peak amplitudes and areas under the curve. In addition, a motor mapping was obtained. The specificity of the effects was studied by comparing two neighboring hand muscles, one BRI-trained and one control muscle. Robust changes of MEP amplitude but not MEP area occurred following the BRI intervention, but only in the BRI-trained muscle. The steep part of the SRC showed an MEP increase, while the plateau of the SRC showed an MEP decrease. MEP mapping revealed a distributed pattern with a decrease of excitability in the hand area of the primary motor cortex, which controlled the BRI, but an increase of excitability in the surrounding somatosensory and premotor cortex. In conclusion, the BRI intervention induced a complex pattern of modulated corticospinal excitability, which may boost subsequent motor learning during physiotherapy.
  
  
   
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• Weidel, P, Djurfeldt, M, Duarte, RC, Morrison, A
  Closed Loop Interactions between Spiking Neural Network and Robotic Simulators Based on MUSIC and ROS.
  2016 Front Neuroinform, volume: 10, issue: 31, pages: 1 - 10
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  Abstract

  In order to properly assess the function and computational properties of simulated neural systems, it is necessary to account for the nature of the stimuli that drive the system. However, providing stimuli that are rich and yet both reproducible and amenable to experimental manipulations is technically challenging, and even more so if a closed-loop scenario is required. In this work, we present a novel approach to solve this problem, connecting robotics and neural network simulators. We implement a middleware solution that bridges the Robotic Operating System (ROS) to the Multi-Simulator Coordinator (MUSIC). This enables any robotic and neural simulators that implement the corresponding interfaces to be efficiently coupled, allowing real-time performance for a wide range of configurations. This work extends the toolset available for researchers in both neurorobotics and computational neuroscience, and creates the opportunity to perform closed-loop experiments of arbitrary complexity to address questions in multiple areas, including embodiment, agency, and reinforcement learning.
  
  
   
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• Mechling AE, Arefin T, Lee HL, Bienert T, Reisert M, Ben Hamida S, Darcq E, Ehrlich A, Gaveriaux-Ruff C, Parent MJ, Rosa-Neto P, Hennig J, von Elverfeldt D, Kieffer BL, Harsan LA
  Deletion of the mu opioid receptor gene in mice reshapes the reward-aversion connectome.
  2016 P Natl Acad Sci Usa, volume: 113, issue: 41, pages: 11603 - 11608
• Sahasranamam A, Vlachos I, Aertsen A, Kumar A
  Dynamical state of the network determines the efficacy of single neuron properties in shaping the network activity.
  2016 Sci Rep-uk, volume: 6, pages: 26029 - 26029
• Chua, Y, Morrison, A
  Effects of calcium spikes in the layer 5 pyramidal neuron on coincidence detection and activity propagation.
  2016 Front Comput Neurosci., volume: 10, page: 76
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  Abstract

  The role of dendritic spiking mechanisms in neural processing is so far poorly understood. To investigate the role of calcium spikes in the functional properties of the single neuron and recurrent networks, we investigated a three compartment neuron model of the layer 5 pyramidal neuron with calcium dynamics in the distal compartment. By performing single neuron simulations with noisy synaptic input and occasional large coincident input at either just the distal compartment or at both somatic and distal compartments, we show that the presence of calcium spikes confers a substantial advantage for coincidence detection in the former case and a lesser advantage in the latter. We further show that the experimentally observed critical frequency phenomenon, in which action potentials triggered by stimuli near the soma above a certain frequency trigger a calcium spike at distal dendrites, leading to further somatic depolarization, is not exhibited by a neuron receiving realistically noisy synaptic input, and so is unlikely to be a necessary component of coincidence detection. We next investigate the effect of calcium spikes in propagation of spiking activities in a feed-forward network (FFN) embedded in a balanced recurrent network. The excitatory neurons in the network are again connected to either just the distal, or both somatic and distal compartments. With purely distal connectivity, activity propagation is stable and distinguishable for a large range of recurrent synaptic strengths if the feed-forward connections are sufficiently strong, but propagation does not occur in the absence of calcium spikes. When connections are made to both the somatic and the distal compartments, activity propagation is achieved for neurons with active calcium dynamics at a much smaller number of neurons per pool, compared to a network of passive neurons, but quickly becomes unstable as the strength of recurrent synapses increases. Activity propagation at higher scaling factors can be stabilized by increasing network inhibition or introducing short term depression in the excitatory synapses, but the signal to noise ratio remains low. Our results demonstrate that the interaction of synchrony with dendritic spiking mechanisms can have profound consequences for the dynamics on the single neuron and network level.
  
  
   
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• Fiederer LD, Lahr J, Vorwerk J, Lucka F, Aertsen A, Wolters CH, Schulze-Bonhage A, Ball T
  Electrical Stimulation of the Human Cerebral Cortex by Extracranial Muscle Activity: Effect Quantification With Intracranial EEG and FEM Simulations.
  2016 Ieee T Bio-med Eng, volume: 63, issue: 12, pages: 2552 - 2563
• Ni, J, Wunderle, T, Lewis, C, Desimone, R, Diester, I, Fries, P
  Gamma-Rhythmic Gain Modulation.
  2016 Neuron, volume: 92, issue: 1, pages: 240 - 251
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  Abstract

  Cognition requires the dynamic modulation of effective connectivity, i.e., the modulation of the postsynaptic neuronal response to a given input. If postsynaptic neurons are rhythmically active, this might entail rhythmic gain modulation, such that inputs synchronized to phases of high gain benefit from enhanced effective connectivity. We show that visually induced gamma-band activity in awake macaque area V4 rhythmically modulates responses to unpredictable stimulus events. This modulation exceeded a simple additive superposition of a constant response onto ongoing gamma-rhythmic firing, demonstrating the modulation of multiplicative gain. Gamma phases leading to strongest neuronal responses also led to shortest behavioral reaction times, suggesting functional relevance of the effect. Furthermore, we find that constant optogenetic stimulation of anesthetized cat area 21a produces gamma-band activity entailing a similar gain modulation. As the gamma rhythm in area 21a did not spread backward to area 17, this suggests that postsynaptic gamma is sufficient for gain modulation.
  
  
   
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• Bikis, C, Janz, P, Schulz, G, Schweighauser, G, Hench, J, Thalmann, P, Deyhle, H, Chicherova, N, Rack, A, Khimchenko, A, Hieber, S, Mariani, L, Haas, C, Müller, B
  High-resolution synchrotron radiation-based phase tomography of the healthy and epileptic brain.
  2016 Developments in X-Ray Tomography, volume: 996706
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  Abstract

  Phase-contrast micro-tomography using synchrotron radiation has yielded superior soft tissue visualization down to the sub-cellular level. The isotropic spatial resolution down to about one micron is comparable to the one of histology. The methods, however, provide different physical quantities and are thus complementary, also allowing for the extension of histology into the third dimension. To prepare for cross-sectional animal studies on epilepsy, we have standardized the specimen’s preparation and scanning procedure for mouse brains, so that subsequent histology remains entirely unaffected and scanning of all samples (n = 28) is possible in a realistic time frame. For that, we have scanned five healthy and epileptic mouse brains at the ID19 beamline, ESRF, Grenoble, France, using grating- and propagation-based phase contrast micro-tomography. The resulting datasets clearly show the cortex, ventricular system, thalamus, hypothalamus, and hippocampus. Our focus is on the latter, having planned kainate-induced epilepsy experiments. The cell density and organization in the dentate gyrus and Ammon’s horn region were clearly visualized in control animals. This proof of principle was required to initiate experiment. The resulting three-dimensional data have been correlated to histology. The goal is a brain-wide quantification of cell death or structural reorganization associated with epilepsy as opposed to histology alone that represents small volumes of the total brain only. Thus, the proposed technique bears the potential to correlate the gold standard in analysis with independently obtained data sets. Such an achievement also fuels interest for other groups in neuroscience research to closely collaborate with experts in phase micro-tomography. Proc SPIE 9967, Developments in X-Ray Tomography 996706
  
  
   
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• Jovanovic S, Rotter S
  Interplay between Graph Topology and Correlations of Third Order in Spiking Neuronal Networks.
  2016 Plos Comput Biol, volume: 12, issue: 6, pages: e1004963 - e1004963
• Hassler, C, Guy, J, Nietzschmann, M, Plachta, D, Staiger, J, Stieglitz, T
  Intracortical polyimide electrodes with a bioresorbable coating.
  2016 Biomed Microdevices, volume: 18, issue: 5, page: 81
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  Abstract

  Polyimide based shaft electrodes were coated with a bioresorbable layer to stiffen them for intracortical insertion and to reduce the mechanical mismatch between the target tissue and the implanted device after degradation of the coating. Molten saccharose was used as coating material. In a proof-of-concept study, the electrodes were implanted into the cortex of Wistar rats and the insertion forces during implantation were recorded. Electrochemical impedance spectroscopy was performed immediately after implantation and up to 13 weeks after implantation to monitor the tissue response to the implanted electrodes. The recorded spectra were modeled with an equivalent circuit to differentiate the influence of the single components. In one rat, a peak in the encapsulation resistance was observable after two weeks of implantation, indicating the peak of the acute inflammatory response. In another rat, the lowest resistances were observed after four weeks, indicating the termination of the acute inflammatory response. Multiunit activity was recorded with an adequate signal to noise ratio to allow spike sorting. Histology was performed after 7, 45 and 201 days of implantation. The results showed the highest tissue reaction after 45 days and confirmed impedance data that acute inflammatory reactions terminate over time.
  
  
   
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• Egger, K, Janz, P, Döbrössy, M, Bienert, T, Reisert, M, Obmann, M, Glauche, V, Haas, C, Harsan, L, Urbach, H, von Elverfeldt, D
  Microstructural effects of a neuro-modulating drug evaluated by diffusion tensor imaging.
  2016 Neuroimage, volume: 127, pages: 1 - 10
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  Abstract

  In a longitudinal mouse study we evaluated whether diffusion tensor imaging (DTI) can monitor microstructural changes after administration of the neuromodulating drug EPO and whether erythropoietin (EPO) has an effect on cognitive performance. Twelve mice (2 groups with 6 mice each) were scanned in a 7T Bruker Biospin animal scanner with a highly resolved DTI sequence before and 16 days after intraperitoneal injections of EPO or saline. All mice underwent behavioral testing (Morris water maze) and histologic evaluation of hippocampal and corpus callosum cell proliferation and oligodendrogenesis. Whole brain DTI analysis showed significant Trace, RD and AD decrease within the dentate gyrus, subiculum, primary motor, somatosensory, and supplementary somatosensory areas and FA increase in the hippocampus, corpus callosum, and fimbria fornix in EPO treated mice only. ROI-based DTI analysis showed significant Trace and RD decrease and FA increase only in the corpus callosum of EPO treated mice, whereas in the dentate gyrus significant Trace, RD, and AD decrease occurred in both, EPO- and control-group. Behavioral tests showed that EPO treated mice performed better and learned faster than controls. Histologically, the number of BrdU-positive nuclei and optical density of DCX-labeled juvenile neurons significantly increased within the dentate gyrus, corpus callosum and fimbria fornix and the number of NG2-positive oligodendrocyte progenitors in corpus callosum and fimbria fornix, respectively. In conclusion we were able to monitor microstructural changes with DTI and showed EPO treatment-related alterations correlating with enhanced dentate gyrus and corpus callosum cell proliferation and better learning capabilities.
  
  
   
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• Häussler, U, Rinas, K, Kilias, A, Egert, U, Haas, C
  Mossy fiber sprouting and pyramidal cell dispersion in the hippocampal CA2 region in a mouse model of temporal lobe epilepsy.
  2016 Hippocampus, volume: 26, issue: 5, pages: 577 - 588
  
   
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• Kast, V, Leukel, C
  Motor Experts Care about Consistency and Are Reluctant to Change Motor Outcome.
  2016 Plos One, volume: 11, issue: 8, page: e0161798
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  Abstract

  Thousands of hours of physical practice substantially change the way movements are performed. The mechanisms underlying altered behavior in highly-trained individuals are so far little understood. We studied experts (handballers) and untrained individuals (novices) in visuomotor adaptation of free throws, where subjects had to adapt their throwing direction to a visual displacement induced by prismatic glasses. Before visual displacement, experts expressed lower variability of motor errors than novices. Experts adapted and de-adapted slower, and also forgot the adaptation slower than novices. The variability during baseline was correlated with the learning rate during adaptation. Subjects adapted faster when variability was higher. Our results indicate that experts produced higher consistency of motor outcome. They were still susceptible to the sensory feedback informing about motor error, but made smaller adjustments than novices. The findings of our study relate to previous investigations emphasizing the importance of action exploration, expressed in terms of outcome variability, to facilitate learning.
  
  
   
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• Bashford L, Mehring C
  Ownership and Agency of an Independent Supernumerary Hand Induced by an Imitation Brain-Computer Interface.
  2016 Plos One, volume: 11, issue: 6, pages: e0156591 - e0156591
• Bashford, L, Mehring, C
  Ownership and Agency of an Independent Supernumerary Hand Induced by an Imitation Brain-Computer Interface.
  2016 Plos One, volume: 11, issue: 6, page: e0156591
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  Abstract

  To study body ownership and control, illusions that elicit these feelings in non-body objects are widely used. Classically introduced with the Rubber Hand Illusion, these illusions have been replicated more recently in virtual reality and by using brain-computer interfaces. Traditionally these illusions investigate the replacement of a body part by an artificial counterpart, however as brain-computer interface research develops it offers us the possibility to explore the case where non-body objects are controlled in addition to movements of our own limbs. Therefore we propose a new illusion designed to test the feeling of ownership and control of an independent supernumerary hand. Subjects are under the impression they control a virtual reality hand via a brain-computer interface, but in reality there is no causal connection between brain activity and virtual hand movement but correct movements are observed with 80% probability. These imitation brain-computer interface trials are interspersed with movements in both the subjects’ real hands, which are in view throughout the experiment. We show that subjects develop strong feelings of ownership and control over the third hand, despite only receiving visual feedback with no causal link to the actual brain signals. Our illusion is crucially different from previously reported studies as we demonstrate independent ownership and control of the third hand without loss of ownership in the real hands.
  
  
   
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• Gerlach, J, Donkels, C, Münzner, G, Haas, CA
  Persistent Gliosis Interferes with Neurogenesis in Organotypic Hippocampal Slice Cultures.
  2016 Front Cell Neurosci, volume: 10, page: 131
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  Abstract

  Neurogenesis in the adult hippocampus has become an intensively investigated research topic, as it is essential for proper hippocampal function and considered to bear therapeutic potential for the replacement of pathologically lost neurons. On the other hand, neurogenesis itself is frequently affected by CNS insults. To identify processes leading to the disturbance of neurogenesis, we made use of organotypic hippocampal slice cultures (OHSC), which, for unknown reasons, lose their neurogenic potential during cultivation. In the present study, we show by BrdU/Prox1 double-immunostaining that the generation of new granule cells drops by 90% during the first week of cultivation. Monitoring neurogenesis dynamically in OHSC from POMC-eGFP mice, in which immature granule cells are endogenously labeled, revealed a gradual decay of the eGFP signal, reaching 10% of initial values within 7 days of cultivation. Accordingly, reverse transcription quantitative polymerase chain reaction analysis showed the downregulation of the neurogenesis-related genes doublecortin and Hes5, a crucial target of the stem cell-maintaining Notch signaling pathway. In parallel, we demonstrate a strong and long-lasting activation of astrocytes and microglial cells, both, morphologically and on the level of gene expression. Enhancement of astroglial activation by treating OHSC with ciliary neurotrophic factor accelerated the loss of neurogenesis, whereas treatment with indomethacin or an antagonist of the purinergic P2Y12 receptor exhibited potent protective effects on the neurogenic outcome. Therefore, we conclude that OHSC rapidly lose their neurogenic capacity due to persistent inflammatory processes taking place after the slice preparation. As inflammation is also considered to affect neurogenesis in many CNS pathologies, OHSC appear as a useful tool to study this interplay and its molecular basis. Furthermore, we propose that modification of glial activation might bear the therapeutic potential of enabling neurogenesis under neuropathological conditions.
  
  
   
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• Hammer J, Pistohl T, Fischer J, Krsek P, Tomasek M, Marusic P, Schulze-Bonhage A, Aertsen A, Ball T
  Predominance of Movement Speed Over Direction in Neuronal Population Signals of Motor Cortex: Intracranial EEG Data and A Simple Explanatory Model.
  2016 Cereb Cortex, volume: 26, issue: 6, pages: 2863 - 2881
• Kremkow J, Perrinet LU, Monier C, Alonso JM, Aertsen A, Fregnac Y, Masson GS
  Push-Pull Receptive Field Organization and Synaptic Depression: Mechanisms for Reliably Encoding Naturalistic Stimuli in V1.
  2016 Front Neural Circuit, volume: 10, pages: 37 - 37
• Vlachos I, Deniz T, Aertsen A, Kumar A
  Recovery of Dynamics and Function in Spiking Neural Networks with Closed-Loop Control.
  2016 Plos Comput Biol, volume: 12, issue: 2, pages: e1004720 - e1004720
• Orcinha, C, Münzner, G, Gerlach, J, Kilias, A, Follo, M, Egert, U, Haas, CA
  Seizure-Induced Motility of Differentiated Dentate Granule Cells Is Prevented by the Central Reelin Fragment.
  2016 Front Cell Neurosci, volume: 10 , issue: 183, pages: 1 - 13
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  Abstract

  Granule cell dispersion (GCD) represents a pathological widening of the granule cell layer in the dentate gyrus and it is frequently observed in patients with mesial temporal lobe epilepsy (MTLE). Recent studies in human MTLE specimens and in animal epilepsy models have shown that a decreased expression and functional inactivation of the extracellular matrix protein Reelin correlates with GCD formation, but causal evidence is still lacking. Here, we used unilateral kainate (KA) injection into the mouse hippocampus, an established MTLE animal model, to precisely map the loss of reelin mRNA-synthesizing neurons in relation to GCD along the septotemporal axis of the epileptic hippocampus. We show that reelin mRNA-producing neurons are mainly lost in the hilus and that this loss precisely correlates with the occurrence of GCD. To monitor GCD formation in real time, we used organotypic hippocampal slice cultures (OHSCs) prepared from mice which express enhanced green fluorescent protein (eGFP) primarily in differentiated dentate granule cells. Using life cell microscopy we observed that increasing doses of KA resulted in an enhanced motility of eGFP-positive granule cells. Moreover, KA treatment of OHSC resulted in a rapid loss of Reelin-producing interneurons mainly in the hilus, as observed in vivo. A detailed analysis of the migration behavior of individual eGFP-positive granule cells revealed that the majority of these neurons actively migrate toward the hilar region, where Reelin-producing neurons are lost. Treatment with KA and subsequent addition of the recombinant R3-6 Reelin fragment significantly prevented the movement of eGFP-positive granule cells. Together, these findings suggest that GCD formation is indeed triggered by a loss of Reelin in hilar interneurons.
  
  
   
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• Garcia-Cossio, E, Witkowski, M, Robinson, SE, Cohen, LG, Birbaumer, N, Soekadar, SR
  Simultaneous transcranial direct current stimulation (tDCS) and whole-head magnetoencephalography (MEG): assessing the impact of tDCS on slow cortical magnetic fields.
  2016 Neuroimage, volume: 140, pages: 33 - 40
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  Abstract

  Transcranial direct current stimulation (tDCS) can influence cognitive, affective or motor brain functions. Where-as previous imaging studies demonstrated widespread tDCS effects on brain metabolism, direct impact of tDCSon electric or magnetic source activity in task-related brain areas could not be confirmed due to the difficultyto record such activity simultaneously during tDCS. The aim of this proof-of-principal study was to demonstratethe feasibility of whole-head source localization and reconstruction of neuromagnetic brain activity during tDCSand to confirm the direct effect of tDCS on ongoing neuromagnetic activity in task-related brain areas. Here weshow for thefirst time that tDCS has an immediate impact on slow cortical magneticfields (SCF, 0–4 Hz) oftask-related areas that are identical with brain regions previously described in metabolic neuroimaging studies.14 healthy volunteers performed a choice reaction time (RT) task while whole-head magnetoencephalography(MEG) was recorded. Task-related source-activity of SCFs was calculated using synthetic aperture magnetometry(SAM) in absence of stimulation and while anodal, cathodal or sham tDCS was delivered over the right primarymotor cortex (M1). Source reconstruction revealed task-related SCF modulations in brain regions that preciselymatched prior metabolic neuroimaging studies. Anodal and cathodal tDCS had a polarity-dependent impact onRT and SCF in primary sensorimotor and medial centro-parietal cortices. Combining tDCS and whole-headMEG is a powerful approach to investigate the direct effects of transcranial electric currents on ongoingneuromagnetic source activity, brain function and behavior.
  
  
   
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• Janz P, Savanthrapadian S, Haussler U, Kilias A, Nestel S, Kretz O, Kirsch M, Bartos M, Egert U, Haas CA
  Synaptic Remodeling of Entorhinal Input Contributes to an Aberrant Hippocampal Network in Temporal Lobe Epilepsy.
  2016 Cereb Cortex
• Kellmeyer, P, Cochrane, T, Müller, O, Mitchell, C, Ball, T, Fins, J, Biller-Andorno, N
  The Effects of Closed-Loop Medical Devices on the Autonomy and Accountability of Persons and Systems.
  2016 Camb Q Healthc Ethic, volume: 25, issue: 4, pages: 623 - 633
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  Abstract

  Closed-loop medical devices such as brain-computer interfaces are an emerging and rapidly advancing neurotechnology. The target patients for brain-computer interfaces (BCIs) are often severely paralyzed, and thus particularly vulnerable in terms of personal autonomy, decisionmaking capacity, and agency. Here we analyze the effects of closed-loop medical devices on the autonomy and accountability of both persons (as patients or research participants) and neurotechnological closed-loop medical systems. We show that although BCIs can strengthen patient autonomy by preserving or restoring communicative abilities and/or motor control, closed-loop devices may also create challenges for moral and legal accountability. We advocate the development of a comprehensive ethical and legal framework to address the challenges of emerging closed-loop neurotechnologies like BCIs and stress the centrality of informed consent and refusal as a means to foster accountability. We propose the creation of an international neuroethics task force with members from medical neuroscience, neuroengineering, computer science, medical law, and medical ethics, as well as representatives of patient advocacy groups and the public.
  
  
   
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• Mutschler, I, Ball, T, Kirmse, U, Wieckhorst, B, Pluess, M, Klarhöfer, M, Meyer, A, Wilhelm, F, Seifritz, E
  The Role of the Subgenual Anterior Cingulate Cortex and Amygdala in Environmental Sensitivity to Infant Crying.
  2016 Plos One, volume: 11, issue: 8, page: e0161181
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  Abstract

  Newborns and infants communicate their needs and physiological states through crying and emotional facial expressions. Little is known about individual differences in responding to infant crying. Several theories suggest that people vary in their environmental sensitivity with some responding generally more and some generally less to environmental stimuli. Such differences in environmental sensitivity have been associated with personality traits, including neuroticism. This study investigated whether neuroticism impacts neuronal, physiological, and emotional responses to infant crying by investigating blood-oxygenation-level dependent (BOLD) responses using functional magnetic resonance imaging (fMRI) in a large sample of healthy women (N = 102) with simultaneous skin conductance recordings. Participants were repeatedly exposed to a video clip that showed crying infants and emotional responses (valence, arousal, and irritation) were assessed after every video clip presentation. Increased BOLD signal during the perception of crying infants was found in brain regions that are associated with emotional responding, the amygdala and anterior insula. Significant BOLD signal decrements (i.e., habituation) were found in the fusiform gyrus, middle temporal gyrus, superior temporal gyrus, Broca’s homologue on the right hemisphere, (laterobasal) amygdala, and hippocampus. Individuals with high neuroticism showed stronger activation in the amygdala and subgenual anterior cingulate cortex (sgACC) when exposed to infant crying compared to individuals with low neuroticism. In contrast to our prediction we found no evidence that neuroticism impacts fMRI-based measures of habituation. Individuals with high neuroticism showed elevated skin conductance responses, experienced more irritation, and perceived infant crying as more unpleasant. The results support the hypothesis that individuals high in neuroticism are more emotionally responsive, experience more negative emotions, and may show enhanced cognitive control during the exposure to infant distress, which may impact infant-directed behavior.
  
  
   
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• Fiederer LD, Vorwerk J, Lucka F, Dannhauer M, Yang S, Dumpelmann M, Schulze-Bonhage A, Aertsen A, Speck O, Wolters CH, Ball T
  The role of blood vessels in high-resolution volume conductor head modeling of EEG.
  2016 Neuroimage, volume: 128, pages: 193 - 208
• Belić, JJ, Halje, P, Richter, U, Petersson, P, Kotaleski, JH
  Untangling cortico-striatal connectivity and cross-frequency coupling in L-DOPA-induced dyskinesia.
  2016 Front Syst Neurosci, volume: 10, page: 26
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  Abstract

  We simultaneously recorded local field potentials (LFPs) in the primary motor cortex and sensorimotor striatum in awake, freely behaving, 6-OHDA lesioned hemi-parkinsonian rats in order to study the features directly related to pathological states such as parkinsonian state and levodopa-induced dyskinesia. We analyzed the spectral characteristics of the obtained signals and observed that during dyskinesia the most prominent feature was a relative power increase in the high gamma frequency range at around 80 Hz, while for the parkinsonian state it was in the beta frequency range. Here we show that during both pathological states effective connectivity in terms of Granger causality is bidirectional with an accent on the striatal influence on the cortex. In the case of dyskinesia, we also found a high increase in effective connectivity at 80 Hz. In order to further understand the 80-Hz phenomenon, we performed cross-frequency analysis and observed characteristic patterns in the case of dyskinesia but not in the case of the parkinsonian state or the control state. We noted a large decrease in the modulation of the amplitude at 80 Hz by the phase of low frequency oscillations (up to ~10 Hz) across both structures in the case of dyskinesia. This may suggest a lack of coupling between the low frequency activity of the recorded network and the group of neurons active at ~80 Hz.
  
  
   
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• Milekovic, T, Mehring, C
  Variance Based Measure for Optimization of Parametric Realignment Algorithms.
  2016 Plos One, volume: 11, page: e0153773
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  Abstract

  Neuronal responses to sensory stimuli or neuronal responses related to behaviour are often extracted by averaging neuronal activity over large number of experimental trials. Such trial-averaging is carried out to reduce noise and to diminish the influence of other signals unrelated to the corresponding stimulus or behaviour. However, if the recorded neuronal responses are jittered in time with respect to the corresponding stimulus or behaviour, averaging over trials may distort the estimation of the underlying neuronal response. Temporal jitter between single trial neural responses can be partially or completely removed using realignment algorithms. Here, we present a measure, named difference of time-averaged variance (dTAV), which can be used to evaluate the performance of a realignment algorithm without knowing the internal triggers of neural responses. Using simulated data, we show that using dTAV to optimize the parameter values for an established parametric realignment algorithm improved its efficacy and, therefore, reduced the jitter of neuronal responses. By removing the jitter more effectively and, therefore, enabling more accurate estimation of neuronal responses, dTAV can improve analysis and interpretation of the neural responses.
  
  
   
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• Chander, BS, Witkowski, M, Braun, C, Robinson, SE, Born, J, Cohen, LG, Birbaumer, N, Soekadar, SR
  tACS Phase Locking of Frontal Midline Theta Oscillations Disrupts Working Memory Performance.
  2016 Front Cell Neurosci, volume: 10, page: 20
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  Abstract

  BACKGROUND: Frontal midline theta (FMT) oscillations (4-8 Hz) are strongly related to cognitive and executive control during mental tasks such as memory processing, arithmetic problem solving or sustained attention. While maintenance of temporal order information during a working memory (WM) task was recently linked to FMT phase, a positive correlation between FMT power, WM demand and WM performance was shown. However, the relationship between these measures is not well understood, and it is unknown whether purposeful FMT phase manipulation during a WM task impacts FMT power and WM performance. Here we present evidence that FMT phase manipulation mediated by transcranial alternating current stimulation (tACS) can block WM demand-related FMT power increase (FMTΔpower) and disrupt normal WM performance. METHODS: Twenty healthy volunteers were assigned to one of two groups (group A, group B) and performed a 2-back task across a baseline block (block 1) and an intervention block (block 2) while 275-sensor magnetoencephalography (MEG) was recorded. After no stimulation was applied during block 1, participants in group A received tACS oscillating at their individual FMT frequency over the prefrontal cortex (PFC) while group B received sham stimulation during block 2. After assessing and mapping phase locking values (PLV) between the tACS signal and brain oscillatory activity across the whole brain, FMT power and WM performance were assessed and compared between blocks and groups. RESULTS: During block 2 of group A but not B, FMT oscillations showed increased PLV across task-related cortical areas underneath the frontal tACS electrode. While WM task-related FMTΔpower and WM performance were comparable across groups in block 1, tACS resulted in lower FMTΔpower and WM performance compared to sham stimulation in block 2. CONCLUSION: tACS-related manipulation of FMT phase can disrupt WM performance and influence WM task-related FMTΔpower. This finding may have important implications for the treatment of brain disorders such as depression and attention deficit disorder associated with abnormal regulation of FMT activity or disorders characterized by dysfunctional coupling of brain activity, e.g., epilepsy, Alzheimer's or Parkinson's disease (AD/PD).
  
  
   
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2015

• Heizmann, s, Kilias, A, Okujeni, S, Boehler, C, Ruther, P, Egert, U, Asplund,
  Accurate neuronal tracing of microelectrodes based on PEDOT-dye coatings
  2015 IEEE Access, pages: 386 - 389
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  Abstract

  Penetrating microelectrode probes offer the opportunity to precisely monitor neuronal signals over several months. After the experimental end point, histological methods are used to analyze the tissue and to correlate recorded signals to histological findings. However, accurate retroactive tracing of the position of individual microelectrodes is currently hampered by the lack of suitable techniques to mark their positions. Here we describe a poly (3, 4-ethylene dioxythiophene) (PEDOT) based microelectrode coating, which is optimized for an active, electrochemically controllable release of the neuronal tracer DiI. The tracer is incorporated into the polymer coating by an ion exchange mechanism. Active cycling showed a 3.6 times higher dye incorporation rate compared to reference samples which were solely immersed in the dye. A bi-layer system was used to optimize drug storage ability and could suppress passive leakage of DiI from the film by more than a factor 6. The PEDOT/dye system was characterized in vitro in terms of its ability to store the dye over the time course of the experiment, deliver a precise quantity upon electroactivation and continuously support stable recordings throughout an implantation.
  
  
   
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• Gharabaghi A
  Activity-dependent brain stimulation and robot-assisted movements for use-dependent plasticity.
  2015 Clin Neurophysiol, volume: 126, issue: 5, pages: 853 - 854
• Soekadar SR, Witkowski M, Vitiello N, Birbaumer N
  An EEG/EOG-based hybrid brain-neural computer interaction (BNCI) system to control an exoskeleton for the paralyzed hand.
  2015 Biomed Tech, volume: 60, issue: 3, pages: 199 - 205
• Bedner, P, Dupper, A, Hüttmann, K, Müller, J, Herde, M, Dublin, P, Deshpande, T, Schramm, J, Häussler, U, Haas, C, Henneberger, C, Theis, M, Steinhäuser, C
  Astrocyte uncoupling as a cause of human temporal lobe epilepsy.
  2015 Brain, volume: 138, pages: 1208 - 1222
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  Abstract

  Glial cells are now recognized as active communication partners in the central nervous system, and this new perspective has rekindled the question of their role in pathology. In the present study we analysed functional properties of astrocytes in hippocampal specimens from patients with mesial temporal lobe epilepsy without (n = 44) and with sclerosis (n = 75) combining patch clamp recording, K(+) concentration analysis, electroencephalography/video-monitoring, and fate mapping analysis. We found that the hippocampus of patients with mesial temporal lobe epilepsy with sclerosis is completely devoid of bona fide astrocytes and gap junction coupling, whereas coupled astrocytes were abundantly present in non-sclerotic specimens. To decide whether these glial changes represent cause or effect of mesial temporal lobe epilepsy with sclerosis, we developed a mouse model that reproduced key features of human mesial temporal lobe epilepsy with sclerosis. In this model, uncoupling impaired K(+) buffering and temporally preceded apoptotic neuronal death and the generation of spontaneous seizures. Uncoupling was induced through intraperitoneal injection of lipopolysaccharide, prevented in Toll-like receptor4 knockout mice and reproduced in situ through acute cytokine or lipopolysaccharide incubation. Fate mapping confirmed that in the course of mesial temporal lobe epilepsy with sclerosis, astrocytes acquire an atypical functional phenotype and lose coupling. These data suggest that astrocyte dysfunction might be a prime cause of mesial temporal lobe epilepsy with sclerosis and identify novel targets for anti-epileptogenic therapeutic intervention.
  
  
   
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• Taube, W, Mouthon, M, Leukel, C, Hoogewoud, H, Annoni, J, Keller, M
  Brain activity during observation and motor imagery of different balance tasks: an fMRI study.
  2015 Cortex, volume: 64, pages: 102 - 114
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  Abstract

  After immobilization, patients show impaired postural control and increased risk of falling. Therefore, loss of balance control should already be counteracted during immobilization. Previously, studies have demonstrated that both motor imagery (MI) and action observation (AO) can improve motor performance. The current study elaborated how the brain is activated during imagination and observation of different postural tasks to provide recommendations about the conception of non-physical balance training. For this purpose, participants were tested in a within-subject design in an fMRI-scanner in three different conditions: (a) AO + MI, (b) AO, and (c) MI. In (a) participants were instructed to imagine themselves as the person pictured in the video whereas in (b) they were instructed simply to watch the video. In (c) subjects closed their eyes and kinesthetically imagined the task displayed in the video. Two tasks were evaluated in each condition: (i) static standing balance and (ii) dynamic standing balance (medio-lateral perturbation). In all conditions the start of a new trial was indicated every 2 sec by a sound. During AO + MI of the dynamic task, participants activated motor centers including the putamen, cerebellum, supplementary motor area, premotor cortices (PMv/d) and primary motor cortex (M1). MI showed a similar pattern but no activity in M1 and PMv/d. In the SMA and cerebellum, activity was generally higher in the dynamic than in the static condition. AO did not significantly activate any of these brain areas. Our results showed that (I) mainly AO + MI, but also MI, activate brain regions important for balance control; (II) participants display higher levels of brain activation in the more demanding balance task; (III) there is a significant difference between AO + MI and AO. Consequently, best training effects should be expected when participants apply MI during AO (AO + MI) of challenging postural tasks.
  
  
   
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• Brauchle, D, Vukelić, M, Bauer, R, Gharabaghi, A
  Brain state-dependent robotic reaching movement with a multi-joint arm exoskeleton: combining brain-machine interfacing and robotic rehabilitation.
  2015 Front Hum Neurosci, volume: 9, page: 564
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  Abstract

  While robot-assisted arm and hand training after stroke allows for intensive task-oriented practice, it has provided only limited additional benefit over dose-matched physiotherapy up to now. These rehabilitation devices are possibly too supportive during the exercises. Neurophysiological signals might be one way of avoiding slacking and providing robotic support only when the brain is particularly responsive to peripheral input. We tested the feasibility of three-dimensional robotic assistance for reaching movements with a multi-joint exoskeleton during motor imagery (MI)-related desynchronization of sensorimotor oscillations in the β-band. We also registered task-related network changes of cortical functional connectivity by electroencephalography via the imaginary part of the coherence function. Healthy subjects and stroke survivors showed similar patterns—but different aptitudes—of controlling the robotic movement. All participants in this pilot study with nine healthy subjects and two stroke patients achieved their maximum performance during the early stages of the task. Robotic control was significantly higher and less variable when proprioceptive feedback was provided in addition to visual feedback, i.e., when the orthosis was actually attached to the subject’s arm during the task. A distributed cortical network of task-related coherent activity in the θ-band showed significant differences between healthy subjects and stroke patients as well as between early and late periods of the task. Brain-robot interfaces (BRIs) may successfully link three-dimensional robotic training to the participants’ efforts and allow for task-oriented practice of activities of daily living with a physiologically controlled multi-joint exoskeleton. Changes of cortical physiology during the task might also help to make subject-specific adjustments of task difficulty and guide adjunct interventions to facilitate motor learning for functional restoration, a proposal that warrants further investigation in a larger cohort of stroke patients.
  
  
   
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• Bauer R, Fels M, Vukelic M, Ziemann U, Gharabaghi A
  Bridging the gap between motor imagery and motor execution with a brain-robot interface.
  2015 Neuroimage, volume: 108, pages: 319 - 327
• Weichwald, S, Meyer, T, Özdenizci, O, Schölkopf, B, Ball, T, Grosse-Wentrup, M
  Causal interpretation rules for encoding and decoding models in neuroimaging.
  2015 Neuroimage, volume: 110, pages: 48 - 59
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  Abstract

  Causal terminology is often introduced in the interpretation of encoding and decoding models trained on neuroimaging data. In this article, we investigate which causal statements are warranted and which ones are not supported by empirical evidence. We argue that the distinction between encoding and decoding models is not sufficient for this purpose: relevant features in encoding and decoding models carry a different meaning in stimulus- and in response-based experimental paradigms.We show that only encoding models in the stimulus-based setting support unambiguous causal interpretations. By combining encoding and decoding models trained on the same data, however, we obtain insights into causal relations beyond those that are implied by each individual model type. We illustrate the empirical relevance of our theoretical findings on EEG data recorded during a visuo-motor learning task.
  
  
   
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• Leukel C, Taube W, Rittweger J, Gollhofer A, Ducos M, Weber T, Lundbye-Jensen J
  Changes in corticospinal transmission following 8 weeks of ankle joint immobilization
  2015 Clin Neurophysiol, volume: 126, issue: 1, pages: 131 - 139
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  Abstract

  Joint immobilization has previously been shown to modulate corticospinal excitability. The present study investigated changes in the excitability of distinct fractions of the corticospinal pathway by means of conditioning the H-reflex with transcranial magnetic stimulation (TMS) of the primary motor cortex (Hcond). This method allows assessment of transmission in fast (monosynaptic) and slow(er) (polysynaptic) corticospinal pathways.
  
  
   
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• Jovanovic S, Hertz J, Rotter S
  Cumulants of Hawkes point processes.
  2015 Phys Rev E, volume: 91, issue: 4, pages: 042802 - 042802
• Lagzi F, Rotter S
  Dynamics of Competition between Subnetworks of Spiking Neuronal Networks in the Balanced State.
  2015 Plos One, volume: 10, issue: 9, pages: e0138947 - e0138947
• Donos, C, Dümpelmann, M, Schulze-Bonhage, A
  Early Seizure Detection Algorithm Based on Intracranial EEG and Random Forest Classification.
  2015 Int J Neural Syst, volume: 25, issue: 5, page: 1550023
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  Abstract

  The goal of this study is to provide a seizure detection algorithm that is relatively simple to implement on a microcontroller, so it can be used for an implantable closed loop stimulation device. We propose a set of 11 simple time domain and power bands features, computed from one intracranial EEG contact located in the seizure onset zone. The classification of the features is performed using a random forest classifier. Depending on the training datasets and the optimization preferences, the performance of the algorithm were: 93.84% mean sensitivity (100% median sensitivity), 3.03 s mean (1.75 s median) detection delays and 0.33/h mean (0.07/h median) false detections per hour.
  
  
   
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• Mengiste SA, Aertsen A, Kumar A
  Effect of edge pruning on structural controllability and observability of complex networks.
  2015 Sci Rep-uk, volume: 5, pages: 18145 - 18145
• Sadeh S, Clopath C, Rotter S
  Emergence of Functional Specificity in Balanced Networks with Synaptic Plasticity.
  2015 Plos Comput Biol, volume: 11, issue: 6, pages: e1004307 - e1004307
• Soekadar SR, Witkowski M, Birbaumer N, Cohen LG
  Enhancing Hebbian Learning to Control Brain Oscillatory Activity.
  2015 Cereb Cortex, volume: 25, issue: 9, pages: 2409 - 2415
• Bauer, R, Gharabaghi, A
  Estimating cognitive load during self-regulation of brain activity and neurofeedback with therapeutic brain-computer interfaces.
  2015 Front Behav Neurosci, volume: 9, page: 21
  
   
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• Bahuguna J, Aertsen A, Kumar A
  Existence and Control of Go/No-Go Decision Transition Threshold in the Striatum.
  2015 Plos Comput Biol, volume: 11, issue: 4, pages: e1004233 - e1004233
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  Abstract

  A typical Go/No-Go decision is suggested to be implemented in the brain via the activation of the direct or indirect pathway in the basal ganglia. Medium spiny neurons (MSNs) in the striatum, receiving input from cortex and projecting to the direct and indirect pathways express D1 and D2 type dopamine receptors, respectively. Recently, it has become clear that the two types of MSNs markedly differ in their mutual and recurrent connectivities as well as feedforward inhibition from FSIs. Therefore, to understand striatal function in action selection, it is of key importance to identify the role of the distinct connectivities within and between the two types of MSNs on the balance of their activity. Here, we used both a reduced firing rate model and numerical simulations of a spiking network model of the striatum to analyze the dynamic balance of spiking activities in D1 and D2 MSNs. We show that the asymmetric connectivity of the two types of MSNs renders the striatum into a threshold device, indicating the state of cortical input rates and correlations by the relative activity rates of D1 and D2 MSNs. Next, we describe how this striatal threshold can be effectively modulated by the activity of fast spiking interneurons, by the dopamine level, and by the activity of the GPe via pallidostriatal backprojections. We show that multiple mechanisms exist in the basal ganglia for biasing striatal output in favour of either the `Go' or the `No-Go' pathway. This new understanding of striatal network dynamics provides novel insights into the putative role of the striatum in various behavioral deficits in patients with Parkinson's disease, including increased reaction times, L-Dopa-induced dyskinesia, and deep brain stimulation-induced impulsivity.
  
  
   
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• Winkelmann, A, You, X, Grünewald, N, Häussler, U, Krestel, H, Haas, C, Schwarz, G, Chen, W, Meier, J
  Identification of a new genomic hot spot of evolutionary diversification of protein function.
  2015 PLOS One, volume: 10, issue: 5
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  Abstract

  Establishment of phylogenetic relationships remains a challenging task because it is based on computational analysis of genomic hot spots that display species-specific sequence variations. Here, we identify a species-specific thymine-to-guanine sequence variation in the Glrb gene which gives rise to species-specific splice donor sites in the Glrb genes of mouse and bushbaby. The resulting splice insert in the receptor for the inhibitory neurotransmitter glycine (GlyR) conveys synaptic receptor clustering and specific association with a particular synaptic plasticity-related splice variant of the postsynaptic scaffold protein gephyrin. This study identifies a new genomic hot spot which contributes to phylogenetic diversification of protein function and advances our understanding of phylogenetic relationships.
  
  
   
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• Leukel C, Gollhofer A, Taube W
  In Experts, underlying processes that drive visuomotor adaptation are different than in Novices
  2015 Front Hum Neurosci, volume: 9, issue: 50, pages: 1 - 10
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  Abstract

  Processes responsible for improvements in motor performance are often contrasted in an explicit and an implicit part. Explicit learning enables task success by using strategic (declarative) knowledge. Implicit learning refers to a change in motor performance without conscious effort. In this study, we tested the contribution of explicit and implicit processes in a visuomotor adaptation task in subjects with different expertise in the task they were asked to adapt. Thirty handball players (Experts) and 30 subjects without handball experience (Novices) participated. Three experiments tested visuomotor adaptation of a free throw in team handball using prismatic glasses. The difference between experiments was that in Experiment 2 and 3, contribution of explicit processes was prevented, whereas Experiment 1 allowed contribution of explicit and implicit processes. Retention was assessed in Experiment 3. There were three main findings: (i) contribution of explicit processes to adaptation was stronger in Experts than Novices (Experiment 1); (ii) adaptation took longer in Experts when preventing contribution of explicit processes (Experiment 2); and (iii) retention was stronger in Experts (Experiment 3). This study shows that learning processes involved in visuomotor adaptation change by expertise, with more involvement of explicit processes and most likely other implicit processes to adaptation in Experts.
  
  
   
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• Hornig, T.; Haas, C.; Sturm, L.;, Fiebich, B. & Tebartz van Elst, L.
  Increased Blood-Reelin-Levels in First Episode Schizophrenia
  2015 Plos One, volume: 10, issue: 11, pages: 1 - 11
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  Abstract

  Reelin is an extracellular glycoprotein involved in several functions of brain development, synaptogenesis and dendritic proliferation. Numerous studies found perturbation in the reelin system and altered serum reelin levels in neuropsychiatric patients using the western blot procedure. In the international literature, this is the first study that made use of an enzyme-linked immunosorbent assay to analyze serum reelin protein concentration quantitatively.
  
  
   
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• Laske C, Sohrabi HR, Frost SM, Lopez-de-Ipina K, Garrard P, Buscema M, Dauwels J, Soekadar SR, Mueller S, Linnemann C, Bridenbaugh SA, Kanagasingam Y, Martins RN, O'Bryant SE
  Innovative diagnostic tools for early detection of Alzheimer's disease.
  2015 Alzheimers Dement, volume: 11, issue: 5, pages: 561 - 578
• Stitt I, Galindo-Leon E, Pieper F, Engler G, Fiedler E, Stieglitz T, Engel AK
  Intrinsic coupling modes reveal the functional architecture of cortico-tectal networks.
  2015 Sci Adv, volume: 1, issue: 7, page: 1500229.
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  Abstract

  In the absence of sensory stimulation or motor output, the brain exhibits complex spatiotemporal patterns of intrinsically generated neural activity. Analysis of ongoing brain dynamics has identified the prevailing modes of cortico-cortical interaction; however, little is known about how such patterns of intrinsically generated activity are correlated between cortical and subcortical brain areas. We investigate the correlation structure of ongoing cortical and superior colliculus (SC) activity across multiple spatial and temporal scales. Ongoing cortico-tectal interaction was characterized by correlated fluctuations in the amplitude of delta, spindle, low gamma, and high-frequency oscillations (>100 Hz). Of these identified coupling modes, topographical patterns of high-frequency coupling were the most consistent with patterns of anatomical connectivity, reflecting synchronized spiking within cortico-tectal networks. Cortico-tectal coupling at high frequencies was temporally parcellated by the phase of slow cortical oscillations and was strongest for SC-cortex channel pairs that displayed overlapping visual spatial receptive fields. Despite displaying a high degree of spatial specificity, cortico-tectal coupling in lower-frequency bands did not match patterns of cortex-to-SC anatomical connectivity. Collectively, our findings demonstrate that neural activity is spontaneously coupled between cortex and SC, with high- and low-frequency modes of coupling reflecting direct and indirect cortico-tectal interactions, respectively.
  
  
   
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• Lahr J, Schwartz C, Heimbach B, Aertsen A, Rickert J, Ball T
  Invasive brain-machine interfaces: a survey of paralyzed patients' attitudes, knowledge and methods of information retrieval.
  2015 J Neural Eng, volume: 12, issue: 4, pages: 043001 - 043001
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  Abstract

  OBJECTIVE: Brain-machine interfaces (BMI) are an emerging therapeutic option that can allow paralyzed patients to gain control over assistive technology devices (ATDs). BMI approaches can be broadly classified into invasive (based on intracranially implanted electrodes) and noninvasive (based on skin electrodes or extracorporeal sensors). Invasive BMIs have a favorable signal-to-noise ratio, and thus allow for the extraction of more information than noninvasive BMIs, but they are also associated with the risks related to neurosurgical device implantation. Current noninvasive BMI approaches are typically concerned, among other issues, with long setup times and/or intensive training. Recent studies have investigated the attitudes of paralyzed patients eligible for BMIs, particularly patients affected by amyotrophic lateral sclerosis (ALS). These studies indicate that paralyzed patients are indeed interested in BMIs. Little is known, however, about the degree of knowledge among paralyzed patients concerning BMI approaches or about how patients retrieve information on ATDs. Furthermore, it is not yet clear if paralyzed patients would accept intracranial implantation of BMI electrodes with the premise of decoding improvements, and what the attitudes of a broader range of patients with diseases such as stroke or spinal cord injury are towards this new kind of treatment. APPROACH: Using a questionnaire, we surveyed 131 paralyzed patients for their opinions on invasive BMIs and their attitude toward invasive BMI treatment options. MAIN RESULTS: The majority of the patients knew about and had a positive attitude toward invasive BMI approaches. The group of ALS patients was especially open to the concept of BMIs. The acceptance of invasive BMI technology depended on the improvements expected from the technology. Furthermore, the survey revealed that for paralyzed patients, the Internet is an important source of information on ATDs. SIGNIFICANCE: Websites tailored to prospective BMI users should be further developed to provide reliable information to patients, and also to help to link prospective BMI users with researchers involved in the development of BMI technology.
  
  
   
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• Milekovic, T, Truccolo, W, Grün, S, Riehle, A, Brochier, T
  Local field potentials in primate motor cortex encode grasp kinetic parameters
  2015 Neuroimage, volume: 114, pages: 338 - 355
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  Abstract

  Reach and grasp kinematics are known to be encoded in the spiking activity of neuronal ensembles and in localfield potentials (LFPs) recorded from primate motor cortex during movement planning and execution. However,little is known, especially in LFPs, about the encoding of kinetic parameters, such as forces exerted on the objectduring the same actions. We implanted two monkeys with microelectrode arrays in the motor cortical areas MIand PMd to investigate encoding of grasp-related parameters in motor cortical LFPs during planning and execu-tion of reach-and-grasp movements. We identified three components of the LFP that modulated during graspscorresponding to low (0.3–7 Hz), intermediate (~10–~40 Hz) and high (~80–250 Hz) frequency bands. Weshow that all three components can be used to classify not only grip types but also object loads during planningand execution of a grasping movement. In addition, we demonstrate that all three components recorded duringplanning or execution can be used to continuously decodefinger pressure forces and hand position related to thegrasping movement. Low and high frequency components provide similar classification and decoding accuracies,which were substantially higher than those obtained from the intermediate frequency component. Our resultsdemonstrate that intended reach and grasp kinetic parameters are encoded in multiple LFP bands during bothmovement planning and execution. Thesefindings also suggest that the LFP is a reliable signal for the controlof parameters related to object load and applied pressure forces in brain–machine interfaces,
  
  
   
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• Chua, Y, Morrison, A, Helias, M
  Modeling the calcium spike as a threshold triggered fixed waveform for synchronous inputs in the fluctuation regime.
  2015 Front Comput Neurosci, volume: 9, page: 91
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  Abstract

  Modeling the layer 5 pyramidal neuron as a system of three connected isopotential compartments, the soma, proximal, and distal compartment, with calcium spike dynamics in the distal compartment following first order kinetics, we are able to reproduce in-vitro experimental results which demonstrate the involvement of calcium spikes in action potentials generation. To explore how calcium spikes affect the neuronal output in-vivo, we emulate in-vivo like conditions by embedding the neuron model in a regime of low background fluctuations with occasional large synchronous inputs. In such a regime, a full calcium spike is only triggered by the synchronous events in a threshold like manner and has a stereotypical waveform. Hence, in such a regime, we are able to replace the calcium dynamics with a simpler threshold triggered current of fixed waveform, which is amenable to analytical treatment. We obtain analytically the mean somatic membrane potential excursion due to a calcium spike being triggered while in the fluctuating regime. Our analytical form that accounts for the covariance between conductances and the membrane potential shows a better agreement with simulation results than a naive first order approximation.
  
  
   
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• Sadeh S, Rotter S
  Orientation selectivity in inhibition-dominated networks of spiking neurons: effect of single neuron properties and network dynamics.
  2015 Plos Comput Biol, volume: 11, issue: 1, pages: e1004045 - e1004045
• Azodi-Avval, R, Gharabaghi, A
  Phase-dependent modulation as a novel approach for therapeutic brain stimulation.
  2015 Front Comput Neurosci, volume: 9, page: 26
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  Abstract

  Closed-loop paradigms provide us with the opportunity to optimize stimulation protocols for perturbation of pathological oscillatory activity in brain-related disorders. In this vein, spiking activity of motor cortex neurons and beta activity of local field potentials in the subthalamic nucleus have both been used independently of each other as neuronal signals to trigger deep brain stimulation for alleviating Parkinsonism. These approaches were superior to the standard continuous high-frequency stimulation protocols used in daily practice. However, they achieved their effects by bursts of stimulation that were applied at high-frequency as well, i.e., independent of the phase information in the stimulated region. In this context, we propose that, by timing stimulation pulses relative to the ongoing oscillation, an alternative approach, namely the targeted perturbation of pathological rhythms, could be obtained. In this modeling study, we first captured the underlying dynamics of neuronal oscillations in the human subthalamic nucleus by phased coupled neuronal oscillators. We then quantified the nature of the interaction between these coupled oscillators by obtaining a physiologically informed phase response curve from local field potentials. Reconstruction of the phase response curve predicted the sensitivity of the phase oscillator to external stimuli, revealing phase intervals that optimally maximized the degree of perturbation. We conclude that our specifically timed intervention based on the coupled oscillator concept will enable us to identify personalized ways of delivering stimulation pulses in closed-loop paradigms triggered by the phase of pathological oscillations. This will pave the way for novel physiological insights and substantial clinical benefits. In addition, this precisely phased modulation may be capable of modifying the effective interactions between oscillators in an entirely new manner.
  
  
   
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• Schnepel P, Kumar A, Zohar M, Aertsen A, Boucsein C
  Physiology and Impact of Horizontal Connections in Rat Neocortex.
  2015 Cereb Cortex, volume: 25, issue: 10, pages: 3818 - 3835
• Fels, M, Bauer, R, Gharabaghi, A
  Predicting workload profiles of brain-robot interface and electromygraphic neurofeedback with cortical resting-state networks: personal trait or task-specific challenge?
  2015 J Neural Eng, volume: 12, issue: 4, page: 046029
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  Abstract

  OBJECTIVE: Novel rehabilitation strategies apply robot-assisted exercises and neurofeedback tasks to facilitate intensive motor training. We aimed to disentangle task-specific and subject-related contributions to the perceived workload of these interventions and the related cortical activation patterns. APPROACH: We assessed the perceived workload with the NASA Task Load Index in twenty-one subjects who were exposed to two different feedback tasks in a cross-over design: (i) brain-robot interface (BRI) with haptic/proprioceptive feedback of sensorimotor oscillations related to motor imagery, and (ii) control of neuromuscular activity with feedback of the electromyography (EMG) of the same hand. We also used electroencephalography to examine the cortical activation patterns beforehand in resting state and during the training session of each task. MAIN RESULTS: The workload profile of BRI feedback differed from EMG feedback and was particularly characterized by the experience of frustration. The frustration level was highly correlated across tasks, suggesting subject-related relevance of this workload component. Those subjects who were specifically challenged by the respective tasks could be detected by an interhemispheric alpha-band network in resting state before the training and by their sensorimotor theta-band activation pattern during the exercise. SIGNIFICANCE: Neurophysiological profiles in resting state and during the exercise may provide task-independent workload markers for monitoring and matching participants' ability and task difficulty of neurofeedback interventions.
  
  
   
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• Sadeh S, Clopath C, Rotter S
  Processing of Feature Selectivity in Cortical Networks with Specific Connectivity.
  2015 Plos One, volume: 10, issue: 6, pages: e0127547 - e0127547
• Zaytsev, Y, Morrison, A., Deger, M.
  Reconstruction of recurrent synaptic connectivity of thousands of neurons from simulated spiking activity
  2015 J Comput Neurosci, volume: 39, issue: 1, pages: 77 - 103
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  Abstract

  Dynamics and function of neuronal networks are determined by their synaptic connectivity. Current experimental methods to analyze synaptic network structure on the cellular level, however, cover only small fractions of functional neuronal circuits, typically without a simultaneous record of neuronal spiking activity. Here we present a method for the reconstruction of large recurrent neuronal networks from thousands of parallel spike train recordings. We employ maximum likelihood estimation of a generalized linear model of the spiking activity in continuous time. For this model the point process likelihood is concave, such that a global optimum of the parameters can be obtained by gradient ascent. Previous methods, including those of the same class, did not allow recurrent networks of that order of magnitude to be reconstructed due to prohibitive computational cost and numerical instabilities. We describe a minimal model that is optimized for large networks and an efficient scheme for its parallelized numerical optimization on generic computing clusters. For a simulated balanced random network of 1000 neurons, synaptic connectivity is recovered with a misclassification error rate of less than 1 % under ideal conditions. We show that the error rate remains low in a series of example cases under progressively less ideal conditions. Finally, we successfully reconstruct the connectivity of a hidden synfire chain that is embedded in a random network, which requires clustering of the network connectivity to reveal the synfire groups. Our results demonstrate how synaptic connectivity could potentially be inferred from large-scale parallel spike train recordings.
  
  
   
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• Bauer, R, Gharabaghi, A
  Reinforcement learning for adaptive threshold control of restorative brain-computer interfaces: a Bayesian simulation.
  2015 Front Neurosci-switz, volume: 9, page: 36
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  Abstract

  Restorative brain-computer interfaces (BCI) are increasingly used to provide feedback of neuronal states in a bid to normalize pathological brain activity and achieve behavioral gains. However, patients and healthy subjects alike often show a large variability, or even inability, of brain self-regulation for BCI control, known as BCI illiteracy. Although current co-adaptive algorithms are powerful for assistive BCIs, their inherent class switching clashes with the operant conditioning goal of restorative BCIs. Moreover, due to the treatment rationale, the classifier of restorative BCIs usually has a constrained feature space, thus limiting the possibility of classifier adaptation. In this context, we applied a Bayesian model of neurofeedback and reinforcement learning for different threshold selection strategies to study the impact of threshold adaptation of a linear classifier on optimizing restorative BCIs. For each feedback iteration, we first determined the thresholds that result in minimal action entropy and maximal instructional efficiency. We then used the resulting vector for the simulation of continuous threshold adaptation. We could thus show that threshold adaptation can improve reinforcement learning, particularly in cases of BCI illiteracy. Finally, on the basis of information-theory, we provided an explanation for the achieved benefits of adaptive threshold setting.
  
  
   
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• Taube, W, Leukel, C, Nielsen, J, Lundbye-Jensen, J
  Repetitive Activation of the Corticospinal Pathway by Means of rTMS may Reduce the Efficiency of Corticomotoneuronal Synapses
  2015 Cereb Cortex, volume: 25, issue: 6, pages: 1629 - 1637
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  Abstract

  Low-frequency rTMS applied to the primary motor cortex (M1) may produce depression of motor-evoked potentials (MEPs). This depression is commonly assumed to reflect changes in cortical circuits. However, little is known about rTMS-induced effects on subcortical circuits. Therefore, the present study aimed to clarify whether rTMS influences corticospinal transmission by altering the efficiency of corticomotoneuronal (CM) synapses. The corticospinal transmission to soleus α-motoneurons was evaluated through conditioning of the soleus H-reflex by magnetic stimulation of either M1 (M1-conditioning) or the cervicomedullary junction (CMS-conditioning). The first facilitation of the H-reflex (early facilitation) was determined after M1- and CMS-conditioning. Comparison of the early facilitation before and after 20-min low-frequency (1 Hz) rTMS revealed suppression with M1- (−17 ± 4%; P = 0.001) and CMS-conditioning (−6 ± 2%; P = 0.04). The same rTMS protocol caused a significant depression of compound MEPs, whereas amplitudes of H-reflex and M-wave remained unaffected, indicating a steady level of motoneuronal excitability. Thus, the effects of rTMS are likely to occur at a premotoneuronal site—either at M1 and/or the CM synapse. As the early facilitation reflects activation of direct CM projections, the most likely site of action is the synapse of the CM neurons onto spinal motoneurons.
  
  
   
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• Bujan AF, Aertsen A, Kumar A
  Role of input correlations in shaping the variability and noise correlations of evoked activity in the neocortex.
  2015 J Neurosci, volume: 35, issue: 22, pages: 8611 - 8625
• Vukelić, M, Gharabaghi, A
  Self-regulation of circumscribed brain activity modulates spatially selective and frequency specific connectivity of distributed resting state networks.
  2015 Front Behav Neurosci, volume: 9, page: 181
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  Abstract

  The mechanisms of learning involved in brain self-regulation have still to be unveiled to exploit the full potential of this methodology for therapeutic interventions. This skill of volitionally changing brain activity presumably resembles motor skill learning which in turn is accompanied by plastic changes modulating resting state networks. Along these lines, we hypothesized that brain regulation and neurofeedback would similarly modify intrinsic networks at rest while presenting a distinct spatio-temporal pattern. High-resolution electroencephalography preceded and followed a single neurofeedback training intervention of modulating circumscribed sensorimotor low β-activity by kinesthetic motor imagery in eleven healthy participants. The participants were kept in the deliberative phase of skill acquisition with high demands for learning self-regulation through stepwise increases of task difficulty. By applying the corrected imaginary part of the coherency function, we observed increased functional connectivity of both the primary motor and the primary somatosensory cortex with their respective contralateral homologous cortices in the low β-frequency band which was self-regulated during feedback. At the same time, the primary motor cortex—but none of the surrounding cortical areas—showed connectivity to contralateral supplementary motor and dorsal premotor areas in the high β-band. Simultaneously, the neurofeedback target displayed a specific increase of functional connectivity with an ipsilateral fronto-parietal network in the α-band while presenting a de-coupling with contralateral primary and secondary sensorimotor areas in the very same frequency band. Brain self-regulation modifies resting state connections spatially selective to the neurofeedback target of the dominant hemisphere. These are anatomically distinct with regard to the cortico-cortical connectivity pattern and are functionally specific with regard to the time domain of coherent activity consistent with a Hebbian-like sharpening concept.
  
  
   
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• Strüber, M, Jonas, P, Bartos, M
  Strength and duration of perisomatic GABAergic inhibition depend on distance between synaptically connected cells.
  2015 PNAS
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  Abstract

  GABAergic perisoma-inhibiting fast-spiking interneurons (PIIs) effectively control the activity of large neuron populations by their wide axonal arborizations. It is generally assumed that the output of one PII to its target cells is strong and rapid. Here, we show that, unexpectedly, both strength and time course of PII-mediated perisomatic inhibition change with distance between synaptically connected partners in the rodent hippocampus. Synaptic signals become weaker due to lower contact numbers and decay more slowly with distance, very likely resulting from changes in GABAA receptor subunit composition. When distance-dependent synaptic inhibition is introduced to a rhythmically active neuronal network model, randomly driven principal cell assemblies are strongly synchronized by the PIIs, leading to higher precision in principal cell spike times than in a network with uniform synaptic inhibition.
  
  
   
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• Weiss D, Klotz R, Govindan RB, Scholten M, Naros G, Ramos-Murguialday A, Bunjes F, Meisner C, Plewnia C, Kruger R, Gharabaghi A
  Subthalamic stimulation modulates cortical motor network activity and synchronization in Parkinson's disease.
  2015 Brain, volume: 138, issue: Pt 3, pages: 679 - 693
• Dümpelmann, M, Jacobs, J, Schulze-Bonhage, A
  Temporal and spatial characteristics of high frequency oscillations as a new biomarker in epilepsy
  2015 Epilepsia, volume: 56, issue: 2, pages: 197 - 206
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  Abstract

  Objective Interictal high frequency oscillations (HFOs) are a promising candidate as a biomarker in epilepsy as well as for defining the seizure‐onset zone as for the prediction of the surgical outcome after epilepsy surgery. The purpose of the study is to investigate properties of HFOs in long‐term recordings with respect to the sleep–wake cycle and anatomic regions to verify previous results based on observations from short intervals and patients mainly with temporal lobe epilepsy to the analysis of hours of recordings and focal epilepsies with extratemporal origin. Methods Automatic HFO detection using a radial basis function neural network detector was performed in long‐term recordings of 15 presurgical patients investigated with subdural strip, grid, and depth contacts. Periods with visual marked sleep stages based on parallel scalp recordings from two consecutive nights were compared to awake intervals. Statistical analysis was based on the Kruskal‐Wallis test, Mann‐Whitney U‐test and Spearman's rank correlations. Results HFO rates in seizure‐onset contacts differed from other brain regions independent of the sleep–wake cycle. For temporal contacts, the HFO rate increased significantly with sleep stage. In addition, contacts covering the parietal lobe, including rolandic cortex, showed a significant increase of HFO rates during sleep. However, no significant HFO rate changes depending on the sleep–wake cycle were found for frontal contacts. Significance The rate of interictal HFOs predicted the SOZ with statistical significance at the group level, but properties other than the HFO rate may need to be considered to improve the diagnostic utility of HFOs. This study gives evidence that the modulation of HFO rates by states of the sleep–wake cycle has particular characteristics within different neocortical regions and in mesiotemporal structures, and contributes to the establishment of HFOs as a biomarker in epilepsy.
  
  
   
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• Fiederer, L, Vorwerk, J, Lucka, F, Dannhauer, M, Yang, S, Dümpelmann, M, Schulze-Bonhage, A, Aertsen, A, Speck, O, Wolters, C, Ball, T
  The role of blood vessels in high-resolution volume conductor head modeling of EEG
  2015 Neuroimage, volume: 128, pages: 193 - 208
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  Abstract

  Reconstruction of the electrical sources of human EEG activity at high spatio-temporal accuracy is an important aim in neuroscience and neurological diagnostics. Over the last decades, numerous studies have demonstrated that realistic modeling of head anatomy improves the accuracy of source reconstruction of EEG signals. For example, including a cerebro-spinal fluid compartment and the anisotropy of white matter electrical conductivity were both shown to significantly reduce modeling errors. Here, we for the first time quantify the role of detailed reconstructions of the cerebral blood vessels in volume conductor head modeling for EEG. To study the role of the highly arborized cerebral blood vessels, we created a submillimeter head model based on ultra-high-field-strength (7 T) structural MRI datasets. Blood vessels (arteries and emissary/intraosseous veins) were segmented using Frangi multi-scale vesselness filtering. The final head model consisted of a geometry-adapted cubic mesh with over 17 × 106 nodes. We solved the forward model using a finite-element-method (FEM) transfer matrix approach, which allowed reducing computation times substantially and quantified the importance of the blood vessel compartment by computing forward and inverse errors resulting from ignoring the blood vessels. Our results show that ignoring emissary veins piercing the skull leads to focal localization errors of approx. 5 to 15 mm. Large errors (> 2 cm) were observed due to the carotid arteries and the dense arterial vasculature in areas such as in the insula or in the medial temporal lobe. Thus, in such predisposed areas, errors caused by neglecting blood vessels can reach similar magnitudes as those previously reported for neglecting white matter anisotropy, the CSF or the dura — structures which are generally considered important components of realistic EEG head models. Our findings thus imply that including a realistic blood vessel compartment in EEG head models will be helpful to improve the accuracy of EEG source analyses particularly when high accuracies in brain areas with dense vasculature are required.
  
  
   
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• Reis J, Fischer JT, Prichard G, Weiller C, Cohen LG, Fritsch B
  Time- but not sleep-dependent consolidation of tDCS-enhanced visuomotor skills.
  2015 Cereb Cortex, volume: 25, issue: 1, pages: 109 - 117
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  Abstract

  Consolidation of motor skills after training can occur in a time- or sleep-dependent fashion. Recent studies revealed time-dependent consolidation as a common feature of visuomotor tasks. We have previously shown that anodal transcranial direct current stimulation (tDCS) in combination with repeated motor training benefits consolidation by the induction of offline skill gains in a complex visuomotor task, preventing the regular occurrence of skill loss between days. Here, we asked 2 questions: What is the time course of consolidation between days for this task and do exogenously induced offline gains develop as a function of time or overnight sleep? We found that both the development of offline skill loss in sham-stimulated subjects and offline skill gains induced by anodal tDCS critically depend on the passage of time after training, but not on overnight sleep. These findings support the view that tDCS interacts directly with the physiological consolidation process. However, in a control experiment, anodal tDCS applied after the training did not induce skill gains, implying that coapplication of tDCS and training is required to induce offline skill gains, pointing to the initiation of consolidation already during training.
  
  
   
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2014

• Lagzi F, Rotter S
  A Markov model for the temporal dynamics of balanced random networks of finite size.
  2014 Front Comput Neurosc, volume: 8, pages: 142 - 142
• Broetz D, Del Grosso NA, Rea M, Ramos-Murguialday A, Soekadar SR, Birbaumer N
  A new hand assessment instrument for severely affected stroke patients.
  2014 Neurorehabilitation, volume: 34, issue: 3, pages: 409 - 427
• Bensch M, Martens S, Halder S, Hill J, Nijboer F, Ramos A, Birbaumer N, Bogdan M, Kotchoubey B, Rosenstiel W, Scholkopf B, Gharabaghi A
  Assessing attention and cognitive function in completely locked-in state with event-related brain potentials and epidural electrocorticography.
  2014 J Neural Eng, volume: 11, issue: 2, pages: 026006 - 026006
• Soekadar SR, Birbaumer N, Slutzky MW, Cohen LG
  Brain-machine interfaces in neurorehabilitation of stroke.
  2014 Neurobiol Dis
• Hahn G, Bujan AF, Fregnac Y, Aertsen A, Kumar A
  Communication through resonance in spiking neuronal networks.
  2014 Plos Comput Biol, volume: 10, issue: 8, pages: e1003811 - e1003811
• Witte M, Galan F, Waldert S, Braun C, Mehring C
  Concurrent stable and unstable cortical correlates of human wrist movements.
  2014 Hum Brain Mapp, volume: 35, issue: 8, pages: 3867 - 3879
• Gharabaghi A, Kraus D, Leao MT, Spuler M, Walter A, Bogdan M, Rosenstiel W, Naros G, Ziemann U
  Coupling brain-machine interfaces with cortical stimulation for brain-state dependent stimulation: enhancing motor cortex excitability for neurorehabilitation.
  2014 Front Hum Neurosci, volume: 8, pages: 122 - 122
• Spuler M, Walter A, Ramos-Murguialday A, Naros G, Birbaumer N, Gharabaghi A, Rosenstiel W, Bogdan M
  Decoding of motor intentions from epidural ECoG recordings in severely paralyzed chronic stroke patients.
  2014 J Neural Eng, volume: 11, issue: 6, pages: 066008 - 066008
• Birbaumer N, Gallegos-Ayala G, Wildgruber M, Silvoni S, Soekadar SR
  Direct brain control and communication in paralysis.
  2014 Brain Topogr, volume: 27, issue: 1, pages: 4 - 11
• Sadeh S, Rotter S
  Distribution of orientation selectivity in recurrent networks of spiking neurons with different random topologies.
  2014 Plos One, volume: 9, issue: 12, pages: e114237 - e114237
• Witkowski M, Cortese M, Cempini M, Mellinger J, Vitiello N, Soekadar SR
  Enhancing brain-machine interface (BMI) control of a hand exoskeleton using electrooculography (EOG).
  2014 J Neuroeng Rehabil, volume: 11, pages: 165 - 165
• Chai X, Munzner G, Zhao S, Tinnes S, Kowalski J, Haussler U, Young C, Haas CA, Frotscher M
  Epilepsy-induced motility of differentiated neurons.
  2014 Cereb Cortex, volume: 24, issue: 8, pages: 2130 - 2140
• Somerlik, K, Stieglitz, T, Schulze-Bonhage, A
  Evaluation von Parametern der Hirnstimulation: Tierexperimentelle Epilepsiemodelle
  2014 Zeitschrift für Epileptologie, volume: 27, issue: 1, pages: 7 - 18
• Gharabaghi A, Naros G, Walter A, Grimm F, Schuermeyer M, Roth A, Bogdan M, Rosenstiel W, Birbaumer N
  From assistance towards restoration with epidural brain-computer interfacing.
  2014 Restor Neurol Neuros, volume: 32, issue: 4, pages: 517 - 525
• Derix J, Iljina O, Weiske J, Schulze-Bonhage A, Aertsen A, Ball T
  From speech to thought: the neuronal basis of cognitive units in non-experimental, real-life communication investigated using ECoG.
  2014 Front Hum Neurosci, volume: 8, pages: 383 - 383
• Yim MY, Kumar A, Aertsen A, Rotter S
  Impact of correlated inputs to neurons: modeling observations from in vivo intracellular recordings.
  2014 J Comput Neurosci, volume: 37, issue: 2, pages: 293 - 304
• Soekadar SR, Witkowski M, Cossio EG, Birbaumer N, Cohen LG
  Learned EEG-based brain self-regulation of motor-related oscillations during application of transcranial electric brain stimulation: feasibility and limitations.
  2014 Front Behav Neurosci, volume: 8, pages: 93 - 93
• Gharabaghi A, Naros G, Khademi F, Jesser J, Spuler M, Walter A, Bogdan M, Rosenstiel W, Birbaumer N
  Learned self-regulation of the lesioned brain with epidural electrocorticography.
  2014 Front Behav Neurosci, volume: 8, pages: 429 - 429
• Sadeh S, Cardanobile S, Rotter S
  Mean-field analysis of orientation selectivity in inhibition-dominated networks of spiking neurons.
  2014 Springerplus, volume: 3, pages: 148 - 148
• Hosp JA, Struber M, Yanagawa Y, Obata K, Vida I, Jonas P, Bartos M
  Morpho-physiological criteria divide dentate gyrus interneurons into classes.
  2014 Hippocampus, volume: 24, issue: 2, pages: 189 - 203
• Weltin, A, Enderle, B, Kienninger, J, Urban, G
  Multiparametric flexible microsensor platform for metabolic monitoring in vivo
  2014 Ieee Sens J, volume: 14, issue: 10, pages: 3345 - 3351
• Marx AM, Ehlis AC, Furdea A, Holtmann M, Banaschewski T, Brandeis D, Rothenberger A, Gevensleben H, Freitag CM, Fuchsenberger Y, Fallgatter AJ, Strehl U
  Near-infrared spectroscopy (NIRS) neurofeedback as a treatment for children with attention deficit hyperactivity disorder (ADHD)-a pilot study.
  2014 Front Hum Neurosci, volume: 8, pages: 1038 - 1038
• Raco V, Bauer R, Olenik M, Brkic D, Gharabaghi A
  Neurosensory effects of transcranial alternating current stimulation.
  2014 Brain Stimul, volume: 7, issue: 6, pages: 823 - 831
• Weltin A, Kieninger J, Enderle B, Gellner AK, Fritsch B, Urban GA
  Polymer-based, flexible glutamate and lactate microsensors for in vivo applications.
  2014 Biosens Bioelectron, volume: 61, pages: 192 - 199
• Ruiz S, Buyukturkoglu K, Rana M, Birbaumer N, Sitaram R
  Real-time fMRI brain computer interfaces: self-regulation of single brain regions to networks.
  2014 Biol Psychol, volume: 95, pages: 4 - 20
• Sadeh S, Rotter S
  Statistics and geometry of orientation selectivity in primary visual cortex.
  2014 Biol Cybern, volume: 108, issue: 5, pages: 631 - 653
• Weiss D, Lam JM, Breit S, Gharabaghi A, Kruger R, Luft AR, Wachter T
  The subthalamic nucleus modulates the early phase of probabilistic classification learning.
  2014 Exp Brain Res, volume: 232, issue: 7, pages: 2255 - 2262
• Derix J, Yang S, Lusebrink F, Fiederer LD, Schulze-Bonhage A, Aertsen A, Speck O, Ball T
  Visualization of the amygdalo-hippocampal border and its structural variability by 7T and 3T magnetic resonance imaging.
  2014 Hum Brain Mapp, volume: 35, issue: 9, pages: 4316 - 4329
• Sitaram R, Caria A, Veit R, Gaber T, Ruiz S, Birbaumer N
  Volitional control of the anterior insula in criminal psychopaths using real-time fMRI neurofeedback: a pilot study.
  2014 Front Behav Neurosci, volume: 8, pages: 344 - 344
• Grah G, Kumar A
  Wettstreit der ­Metaphern
  2014 Gehirn und Geist, volume: 13, issue: 7, pages: 60 - 65
• Grah G, Kumar A
  Wettstreit der ­Metaphern
  2014 Gehirn und Geist - Rätsel Mensch, volume: 1, issue: 1, pages: 58 - 63

2013

• Reimer IC, Staude B, Boucsein C, Rotter S
  A new method to infer higher-order spike correlations from membrane potentials.
  2013 J Comput Neurosci, volume: 35, issue: 2, pages: 169 - 186
• Rubehn B, Wolff SB, Tovote P, Luthi A, Stieglitz T
  A polymer-based neural microimplant for optogenetic applications: design and first in vivo study.
  2013 Lab Chip, volume: 13, issue: 4, pages: 579 - 588
• Ruiz S, Lee S, Soekadar SR, Caria A, Veit R, Kircher T, Birbaumer N, Sitaram R
  Acquired self-control of insula cortex modulates emotion recognition and brain network connectivity in schizophrenia.
  2013 Hum Brain Mapp, volume: 34, issue: 1, pages: 200 - 212
• De Massari D, Ruf CA, Furdea A, Matuz T, van der Heiden L, Halder S, Silvoni S, Birbaumer N
  Brain communication in the locked-in state.
  2013 Brain, volume: 136, issue: Pt 6, pages: 1989 - 2000
• Ramos-Murguialday A, Broetz D, Rea M, Laer L, Yilmaz O, Brasil FL, Liberati G, Curado MR, Garcia-Cossio E, Vyziotis A, Cho W, Agostini M, Soares E, Soekadar S, Caria A, Cohen LG, Birbaumer N
  Brain-machine interface in chronic stroke rehabilitation: a controlled study.
  2013 Ann Neurol, volume: 74, issue: 1, pages: 100 - 108
• Kumar A, Vlachos I, Aertsen A, Boucsein C
  Challenges of understanding brain function by selective modulation of neuronal subpopulations.
  2013 Trends Neurosci, volume: 36, issue: 10, pages: 579 - 586
• De Almeida Ribeiro PR, Brasil FL, Witkowski M, Shiman F, Cipriani C, Vitiello N, Carrozza MC, Soekadar SR
  Controlling Assistive Machines in Paralysis Using Brain Waves and Other Biosignals
  2013 Advances in Human-Computer Interaction, volume: 2013, page: 9 pages
• Veit R, Konicar L, Klinzing JG, Barth B, Yilmaz O, Birbaumer N
  Deficient fear conditioning in psychopathy as a function of interpersonal and affective disturbances.
  2013 Front Hum Neurosci, volume: 7, pages: 706 - 706
• Milekovic T, Ball T, Schulze-Bonhage A, Aertsen A, Mehring C
  Detection of error related neuronal responses recorded by electrocorticography in humans during continuous movements.
  2013 Plos One, volume: 8, issue: 2, pages: e55235 - e55235
• Arns M, Strehl U
  Evidence for efficacy of neurofeedback in ADHD?
  2013 Am J Psychiat, volume: 170, issue: 7, pages: 799 - 800
• Soekadar SR, Born J, Birbaumer N, Bensch M, Halder S, Murguialday AR, Gharabaghi A, Nijboer F, Scholkopf B, Martens S
  Fragmentation of slow wave sleep after onset of complete locked-in state.
  2013 J Clin Sleep Med, volume: 9, issue: 9, pages: 951 - 953
• Pistohl T, Schmidt TS, Ball T, Schulze-Bonhage A, Aertsen A, Mehring C
  Grasp detection from human ECoG during natural reach-to-grasp movements.
  2013 Plos One, volume: 8, issue: 1, pages: e54658 - e54658
• Kern M, Aertsen A, Schulze-Bonhage A, Ball T
  Heart cycle-related effects on event-related potentials, spectral power changes, and connectivity patterns in the human ECoG.
  2013 Neuroimage, volume: 81, pages: 178 - 190
• Kriener B, Helias M, Rotter S, Diesmann M, Einevoll GT
  How pattern formation in ring networks of excitatory and inhibitory spiking neurons depends on the input current regime.
  2013 Front Comput Neurosc, volume: 7, pages: 187 - 187
• Yim MY, Aertsen A, Rotter S
  Impact of intrinsic biophysical diversity on the activity of spiking neurons
  2013 Phys Rev E, volume: 87, issue: 3, page: 032710
• Soekadar SR, Witkowski M, Cossio EG, Birbaumer N, Robinson SE, Cohen LG
  In vivo assessment of human brain oscillations during application of transcranial electric currents.
  2013 Nat Commun, volume: 4, pages: 2032 - 2032
• Birbaumer N, Ruiz S, Sitaram R
  Learned regulation of brain metabolism.
  2013 Trends Cogn Sci, volume: 17, issue: 6, pages: 295 - 302
• Cordeiro JG, Somerlik KH, Cordeiro KK, Aertsen A, Araujo JC, Schulze-Bonhage A
  Modulation of excitability by continuous low- and high-frequency stimulation in fully hippocampal kindled rats.
  2013 Epilepsy Res, volume: 107, issue: 3, pages: 224 - 230
• Miller JF, Neufang M, Solway A, Brandt A, Trippel M, Mader I, Hefft S, Merkow M, Polyn SM, Jacobs J, Kahana MJ, Schulze-Bonhage A
  Neural activity in human hippocampal formation reveals the spatial context of retrieved memories.
  2013 Science, volume: 342, issue: 6162, pages: 1111 - 1114
• Vlachos I, Zaytsev YV, Spreizer S, Aertsen A, Kumar A
  Neural system prediction and identification challenge.
  2013 Front Neuroinform, volume: 7, pages: 43 - 43
• Mayer K, Wyckoff SN, Strehl U
  One size fits all? Slow cortical potentials neurofeedback: a review.
  2013 J Atten Disord, volume: 17, issue: 5, pages: 393 - 409
• Weihberger O, Okujeni S, Mikkonen JE, Egert U
  Quantitative examination of stimulus-response relations in cortical networks in vitro.
  2013 J Neurophysiol, volume: 109, issue: 7, pages: 1764 - 1774
• Pernice V, Rotter S
  Reconstruction of sparse connectivity in neural networks from spike train covariances
  2013 J Stat Mech-theory E, volume: March, page: P03008
• Hefft S, Brandt A, Zwick S, von Elverfeldt D, Mader I, Cordeiro J, Trippel M, Blumberg J, Schulze-Bonhage A
  Safety of hybrid electrodes for single-neuron recordings in humans.
  2013 Neurosurgery, volume: 73, issue: 1, pages: 78 - 85; discussion 85
• Lawrence EJ, Su L, Barker GJ, Medford N, Dalton J, Williams SC, Birbaumer N, Veit R, Ranganatha S, Bodurka J, Brammer M, Giampietro V, David AS
  Self-regulation of the anterior insula: Reinforcement learning using real-time fMRI neurofeedback.
  2013 Neuroimage, volume: 88C, pages: 113 - 124
• Ruescher J, Iljina O, Altenmuller DM, Aertsen A, Schulze-Bonhage A, Ball T
  Somatotopic mapping of natural upper- and lower-extremity movements and speech production with high gamma electrocorticography.
  2013 Neuroimage, volume: 81, pages: 164 - 177
• Pernice V, Deger M, Cardanobile S, Rotter S
  The relevance of network micro-structure for neural dynamics.
  2013 Front Comput Neurosc, volume: 7, pages: 72 - 72
• Grah G, Kumar A
  Zittern in Zahlen
  2013 Gehirn und Geist, volume: 5, pages: 68 - 73

2012

• Derix J, Iljina O, Schulze-Bonhage A, Aertsen A, Ball T
  "Doctor" or "darling"? Decoding the communication partner from ECoG of the anterior temporal lobe during non-experimental, real-life social interaction.
  2012 Front Hum Neurosci, volume: 6, pages: 251 - 251
• Furdea A, Ruf CA, Halder S, De Massari D, Bogdan M, Rosenstiel W, Matuz T, Birbaumer N
  A new (semantic) reflexive brain-computer interface: in search for a suitable classifier.
  2012 J Neurosci Meth, volume: 203, issue: 1, pages: 233 - 240
• Sitaram R, Veit R, Stevens B, Caria A, Gerloff C, Birbaumer N, Hummel F
  Acquired control of ventral premotor cortex activity by feedback training: an exploratory real-time FMRI and TMS study.
  2012 Neurorehab Neural Re, volume: 26, issue: 3, pages: 256 - 265
• Kobak D, Mehring C
  Adaptation paths to novel motor tasks are shaped by prior structure learning.
  2012 J Neurosci, volume: 32, issue: 29, pages: 9898 - 9908
• Froriep UP, Kumar A, Cosandier-Rimélé D, Häussler U, Kilias A, Haas CA, Egert U
  Altered theta coupling between medial entorhinal cortex and dentate gyrus in temporal lobe epilepsy.
  2012 Epilepsia, volume: 53, issue: 11, pages: 1937 - 1947
• Milekovic T, Fischer J, Pistohl T, Ruescher J, Schulze-Bonhage A, Aertsen A, Rickert J, Ball T, Mehring C
  An online brain-machine interface using decoding of movement direction from the human electrocorticogram.
  2012 J Neural Eng, volume: 9, issue: 4, pages: 046003 - 046003
• Lotto L, Manfrinati A, Rigoni D, Rumiati R, Sartori G, Birbaumer N
  Attitudes towards end-of-life decisions and the subjective concepts of consciousness: an empirical analysis.
  2012 Plos One, volume: 7, issue: 2, pages: e31735 - e31735
• Vlachos I, Aertsen A, Kumar A
  Beyond statistical significance: implications of network structure on neuronal activity.
  2012 Plos Comput Biol, volume: 8, issue: 1, pages: e1002311 - e1002311
• Sokolov AA, Erb M, Gharabaghi A, Grodd W, Tatagiba MS, Pavlova MA
  Biological motion processing: the left cerebellum communicates with the right superior temporal sulcus.
  2012 Neuroimage, volume: 59, issue: 3, pages: 2824 - 2830
• Bechstein M, Haussler U, Neef M, Hofmann HD, Kirsch M, Haas CA
  CNTF-mediated preactivation of astrocytes attenuates neuronal damage and epileptiform activity in experimental epilepsy.
  2012 Exp Neurol, volume: 236, issue: 1, pages: 141 - 150
• Pistohl T, Schulze-Bonhage A, Aertsen A, Mehring C, Ball T
  Decoding natural grasp types from human ECoG.
  2012 Neuroimage, volume: 59, issue: 1, pages: 248 - 260
• Ihle M, Feldwisch-Drentrup H, Teixeira CA, Witon A, Schelter B, Timmer J, Schulze-Bonhage A
  EPILEPSIAE - a European epilepsy database.
  2012 Comput Meth Prog Bio, volume: 106, issue: 3, pages: 127 - 138
• Gross CM, Flubacher A, Tinnes S, Heyer A, Scheller M, Herpfer I, Berger M, Frotscher M, Lieb K, Haas CA
  Early life stress stimulates hippocampal reelin gene expression in a sex-specific manner: evidence for corticosterone-mediated action.
  2012 Hippocampus, volume: 22, issue: 3, pages: 409 - 420
• Lulé D, Pauli S, Altintas E, Singer U, Merk T, Uttner I, Birbaumer N, Ludolph AC
  Emotional adjustment in amyotrophic lateral sclerosis (ALS).
  2012 J Neurol, volume: 259, issue: 2, pages: 334 - 341
• Milekovic T, Ball T, Schulze-Bonhage A, Aertsen A, Mehring C
  Error-related electrocorticographic activity in humans during continuous movements.
  2012 J Neural Eng, volume: 9, issue: 2, pages: 026007 - 026007
• Birbaumer N, Piccione F, Silvoni S, Wildgruber M
  Ideomotor silence: the case of complete paralysis and brain-computer interfaces (BCI).
  2012 Psychol Res-psych Fo, volume: 76, issue: 2, pages: 183 - 191
• Cardanobile S, Pernice V, Deger M, Rotter S
  Inferring general relations between network characteristics from specific network ensembles.
  2012 Plos One, volume: 7, issue: 6, pages: e37911 - e37911
• Ho EC, Struber M, Bartos M, Zhang L, Skinner FK
  Inhibitory networks of fast-spiking interneurons generate slow population activities due to excitatory fluctuations and network multistability.
  2012 J Neurosci, volume: 32, issue: 29, pages: 9931 - 9946
• Thinnes-Elker F, Iljina O, Apostolides JK, Kraemer F, Schulze-Bonhage A, Aertsen A, Ball T
  Intention concepts and brain-machine interfacing.
  2012 Front Psychol, volume: 3, pages: 455 - 455
• Verhaal J, Kirsch JA, Vlachos I, Manns M, Güntürkün O
  Lateralized reward-related visual discrimination in the avian entopallium.
  2012 Eur J Neurosci, volume: 35, issue: 8, pages: 1337 - 1343
• Reimer IC, Staude B, Ehm W, Rotter S
  Modeling and analyzing higher-order correlations in non-Poissonian spike trains.
  2012 J Neurosci Meth, volume: 208, issue: 1, pages: 18 - 33
• Buch ER, Modir Shanechi A, Fourkas AD, Weber C, Birbaumer N, Cohen LG
  Parietofrontal integrity determines neural modulation associated with grasping imagery after stroke.
  2012 Brain, volume: 135, issue: Pt 2, pages: 596 - 614
• Spüler M, Rosenstiel W, Bogdan M
  Principal component based covariate shift adaption to reduce non-stationarity in a MEG-based brain-computer interface
  2012 Eurasip J Adv Sig Pr, volume: 1, page: 129
• Demandt E, Mehring C, Vogt K, Schulze-Bonhage A, Aertsen A, Ball T
  Reaching movement onset- and end-related characteristics of EEG spectral power modulations.
  2012 Front Neurosci-switz, volume: 6, pages: 65 - 65
• Caria A, Sitaram R, Birbaumer N
  Real-time fMRI: a tool for local brain regulation.
  2012 Neuroscientist, volume: 18, issue: 5, pages: 487 - 501
• Pernice V, Staude B, Cardanobile S, Rotter S
  Recurrent interactions in spiking networks with arbitrary topology.
  2012 Phys Rev E, volume: 85, issue: 3 Pt 1, pages: 031916 - 031916
• Tangermann M, Müller KR, Aertsen A, Birbaumer N, Braun C, Brunner C, Leeb R, Mehring C, Miller KJ, Müller-Putz GR, Nolte G, Pfurtscheller G, Preissl H, Schalk G, Schlögl A, Vidaurre C, Waldert S, Blankertz B
  Review of the BCI Competition IV.
  2012 Front Neurosci-switz, volume: 6, pages: 55 - 55
• Häussler U, Bielefeld L, Froriep UP, Wolfart J, Haas CA
  Septotemporal position in the hippocampal formation determines epileptic and neurogenic activity in temporal lobe epilepsy.
  2012 Cereb Cortex, volume: 22, issue: 1, pages: 26 - 36
• Deger M, Helias M, Rotter S, Diesmann M
  Spike-timing dependence of structural plasticity explains cooperative synapse formation in the neocortex.
  2012 Plos Comput Biol, volume: 8, issue: 9, pages: e1002689 - e1002689
• Deger M, Helias M, Boucsein C, Rotter S
  Statistical properties of superimposed stationary spike trains.
  2012 J Comput Neurosci, volume: 32, issue: 3, pages: 443 - 463
• Voges N, Aertsen A, Rotter S
  Structural models of cortical networks with long-range connectivity
  2012 Math Probl Eng, volume: 2012, page: 17p
• Ambard M, Rotter S
  Support vector machines for spike pattern classification with a leaky integrate-and-fire neuron.
  2012 Front Comput Neurosc, volume: 6, pages: 78 - 78
• Gürel T, Mehring C
  Unsupervised adaptation of brain-machine interface decoders.
  2012 Front Neurosci-switz, volume: 6, pages: 164 - 164
• Veit R, Singh V, Sitaram R, Caria A, Rauss K, Birbaumer N
  Using real-time fMRI to learn voluntary regulation of the anterior insula in the presence of threat-related stimuli.
  2012 Soc Cogn Affect Neur, volume: 7, issue: 6, pages: 623 - 634
• Ball T, Breckel TP, Mutschler I, Aertsen A, Schulze-Bonhage A, Hennig J, Speck O
  Variability of fMRI-response patterns at different spatial observation scales.
  2012 Hum Brain Mapp, volume: 33, issue: 5, pages: 1155 - 1171
• Waldert S, Tushaus L, Kaller CP, Aertsen A, Mehring C
  fNIRS exhibits weak tuning to hand movement direction.
  2012 Plos One, volume: 7, issue: 11, pages: e49266 - e49266
• Dumpelmann M, Ball T, Schulze-Bonhage A
  sLORETA allows reliable distributed source reconstruction based on subdural strip and grid recordings.
  2012 Hum Brain Mapp, volume: 33, issue: 5, pages: 1172 - 1188

2011

• Schrader S, Diesmann M, Morrison A
  A compositionality machine realized by a hierarchic architecture of synfire chains.
  2011 Front Comput Neurosc, volume: 4, pages: 154 - 154
• Bruderle D, Petrovici MA, Vogginger B, Ehrlich M, Pfeil T, Millner S, Grubl A, Wendt K, Muller E, Schwartz MO, de Oliveira DH, Jeltsch S, Fieres J, Schilling M, Muller P, Breitwieser O, Petkov V, Muller L, Davison AP, Krishnamurthy P, Kremkow J, Lundqvist M, Muller E, Partzsch J, Scholze S, Zuhl L, Mayr C, Destexhe A, Diesmann M, Potjans TC, Lansner A, Schuffny R, Schemmel J, Meier K
  A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems.
  2011 Biol Cybern, volume: 104, issue: 4-5, pages: 263 - 296
• Hanuschkin A, Diesmann M, Morrison A
  A reafferent and feed-forward model of song syntax generation in the Bengalese finch.
  2011 J Comput Neurosci, volume: 31, issue: 3, pages: 509 - 532
• Cho W, Vidaurre C, Hoffmann U, Birbaumer N, Ramos-Murguialday A
  Afferent and efferent activity control in the design of brain computer interfaces for motor rehabilitation.
  2011 Conf Proc IEEE Eng Med Biol Soc, volume: 2011, pages: 7310 - 7315
• Potjans W, Diesmann M, Morrison A
  An imperfect dopaminergic error signal can drive temporal-difference learning.
  2011 Plos Comput Biol, volume: 7, issue: 5, pages: e1001133 - e1001133
• Feldwisch-Drentrup H, Ihle M, Quyen Mle V, Teixeira C, Dourado A, Timmer J, Sales F, Navarro V, Schulze-Bonhage A, Schelter B
  Anticipating the unobserved: prediction of subclinical seizures.
  2011 Epilepsy Behav, volume: 22 Suppl 1, pages: S119 - S126
• Boucsein C, Nawrot MP, Schnepel P, Aertsen A
  Beyond the cortical column: abundance and physiology of horizontal connections imply a strong role for inputs from the surround.
  2011 Front Neurosci-switz, volume: 5, pages: 32 - 32
• Silvoni S, Ramos-Murguialday A, Cavinato M, Volpato C, Cisotto G, Turolla A, Piccione F, Birbaumer N
  Brain-computer interface in stroke: a review of progress.
  2011 Clin Eeg Neurosci, volume: 42, issue: 4, pages: 245 - 252
• Caria A, Weber C, Brotz D, Ramos A, Ticini LF, Gharabaghi A, Braun C, Birbaumer N
  Chronic stroke recovery after combined BCI training and physiotherapy: a case report.
  2011 Psychophysiology, volume: 48, issue: 4, pages: 578 - 582
• Gomez-Rodriguez M, Peters J, Hill J, Scholkopf B, Gharabaghi A, Grosse-Wentrup M
  Closing the sensorimotor loop: haptic feedback facilitates decoding of motor imagery.
  2011 J Neural Eng, volume: 8, issue: 3, pages: 036005 - 036005
• Weiss D, Breit S, Wachter T, Plewnia C, Gharabaghi A, Kruger R
  Combined stimulation of the substantia nigra pars reticulata and the subthalamic nucleus is effective in hypokinetic gait disturbance in Parkinson's disease.
  2011 J Neurol, volume: 258, issue: 6, pages: 1183 - 1185
• Hanuschkin A, Herrmann JM, Morrison A, Diesmann M
  Compositionality of arm movements can be realized by propagating synchrony.
  2011 J Comput Neurosci, volume: 30, issue: 3, pages: 675 - 697
• Grah G
  Computational Neuroscience - Wie mathematische Modelle helfen können, unser Gehirn zu verstehen
  2011 BioSpektrum, volume: 17, page: 130
  
   
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• Vlachos I, Herry C, Luthi A, Aertsen A, Kumar A
  Context-dependent encoding of fear and extinction memories in a large-scale network model of the basal amygdala.
  2011 Plos Comput Biol, volume: 7, issue: 3, pages: e1001104 - e1001104
• Lee S, Ruiz S, Caria A, Veit R, Birbaumer N, Sitaram R
  Detection of cerebral reorganization induced by real-time fMRI feedback training of insula activation: a multivariate investigation.
  2011 Neurorehab Neural Re, volume: 25, issue: 3, pages: 259 - 267
• Eßmann B, Bittner U, Baltes D
  Die biotechnische Selbstgestaltung des Menschen Neuere Beiträge zur ethischen Debatte über das Enhancement
  2011 Philosophische Rundschau, volume: 58, issue: 1, pages: 1 - 21
• Teixeira CA, Direito B, Feldwisch-Drentrup H, Valderrama M, Costa RP, Alvarado-Rojas C, Nikolopoulos S, Le Van Quyen M, Timmer J, Schelter B, Dourado A
  EPILAB: a software package for studies on the prediction of epileptic seizures.
  2011 J Neurosci Meth, volume: 200, issue: 2, pages: 257 - 271
• Soekadar SR, Witkowski M, Mellinger J, Ramos A, Birbaumer N, Cohen LG
  ERD-based online brain-machine interfaces (BMI) in the context of neurorehabilitation: optimizing BMI learning and performance.
  2011 Ieee T Neur Sys Reh, volume: 19, issue: 5, pages: 542 - 549
• Rea M, Kullmann S, Veit R, Casile A, Braun C, Belardinelli MO, Birbaumer N, Caria A
  Effects of aversive stimuli on prospective memory. An event-related fMRI study.
  2011 Plos One, volume: 6, issue: 10, pages: e26290 - e26290
• Cardanobile S, Rotter S
  Emergent properties of interacting populations of spiking neurons.
  2011 Front Comput Neurosc, volume: 5, pages: 59 - 59
• Tinnes S, Schäfer MK, Flubacher A, Munzner G, Frotscher M, Haas CA
  Epileptiform activity interferes with proteolytic processing of Reelin required for dentate granule cell positioning.
  2011 Faseb J, volume: 25, issue: 3, pages: 1002 - 1013
• Helias M, Deger M, Rotter S, Diesmann M
  Finite post synaptic potentials cause a fast neuronal response.
  2011 Front Neurosci, volume: 5, pages: 19 - 19
• Henle C, Raab M, Cordeiro JG, Doostkam S, Schulze-Bonhage A, Stieglitz T, Rickert J
  First long term in vivo study on subdurally implanted micro-ECoG electrodes, manufactured with a novel laser technology.
  2011 Biomed Microdevices, volume: 13, issue: 1, pages: 59 - 68
• Kumar A, Mehta MR
  Frequency-Dependent Changes in NMDAR-Dependent Synaptic Plasticity.
  2011 Front Comput Neurosc, volume: 5, pages: 38 - 38
• Keune PM, Schonenberg M, Wyckoff S, Mayer K, Riemann S, Hautzinger M, Strehl U
  Frontal alpha-asymmetry in adults with attention deficit hyperactivity disorder: replication and specification.
  2011 Biol Psychol, volume: 87, issue: 2, pages: 306 - 310
• Pernice V, Staude B, Cardanobile S, Rotter S
  How structure determines correlations in neuronal networks.
  2011 Plos Comput Biol, volume: 7, issue: 5, pages: e1002059 - e1002059
• Feldwisch-Drentrup H, Staniek M, Schulze-Bonhage A, Timmer J, Dickten H, Elger CE, Schelter B, Lehnertz K
  Identification of preseizure States in epilepsy: a data-driven approach for multichannel EEG recordings.
  2011 Front Comput Neurosc, volume: 5, pages: 32 - 32
• Heinrich C, Lahteinen S, Suzuki F, Anne-Marie L, Huber S, Haussler U, Haas C, Larmet Y, Castren E, Depaulis A
  Increase in BDNF-mediated TrkB signaling promotes epileptogenesis in a mouse model of mesial temporal lobe epilepsy.
  2011 Neurobiol Dis, volume: 42, issue: 1, pages: 35 - 47
• Kumar A, Singh HP
  Information homeostasis as a fundamental principle governing the cell division and death.
  2011 Med Hypotheses, volume: 77, issue: 3, pages: 318 - 322
• Kunkel S, Diesmann M, Morrison A
  Limits to the development of feed-forward structures in large recurrent neuronal networks.
  2011 Front Comput Neurosc, volume: 4, pages: 160 - 160
• Halder S, Agorastos D, Veit R, Hammer EM, Lee S, Varkuti B, Bogdan M, Rosenstiel W, Birbaumer N, Kubler A
  Neural mechanisms of brain-computer interface control.
  2011 Neuroimage, volume: 55, issue: 4, pages: 1779 - 1790
• Braun DA, Aertsen A, Paz R, Vaadia E, Rotter S, Mehring C
  Online adaptation and over-trial learning in macaque visuomotor control.
  2011 Front Comput Neurosc, volume: 5, pages: 27 - 27
• Várkuti B, Cavusoglu M, Kullik A, Schiffler B, Veit R, Yilmaz Ö, Rosenstiel W, Braun C, Uludag K, Birbaumer N, Sitaram R
  Quantifying the link between anatomical connectivity, gray matter volume and regional cerebral blood flow: an integrative MRI study.
  2011 Plos One, volume: 6, issue: 4, pages: e14801 - e14801
• Renaud P, Joyal C, Stoleru S, Goyette M, Weiskopf N, Birbaumer N
  Real-time functional magnetic imaging-brain-computer interface and virtual reality promising tools for the treatment of pedophilia.
  2011 Prog Brain Res, volume: 192, pages: 263 - 272
• Sitaram R, Lee S, Ruiz S, Rana M, Veit R, Birbaumer N
  Real-time support vector classification and feedback of multiple emotional brain states.
  2011 Neuroimage, volume: 56, issue: 2, pages: 753 - 765
• Rota G, Handjaras G, Sitaram R, Birbaumer N, Dogil G
  Reorganization of functional and effective connectivity during real-time fMRI-BCI modulation of prosody processing.
  2011 Brain Lang, volume: 117, issue: 3, pages: 123 - 132
• Hellwig S, Hack I, Kowalski J, Brunne B, Jarowyj J, Unger A, Bock HH, Junghans D, Frotscher M
  Role for Reelin in neurotransmitter release.
  2011 J Neurosci, volume: 31, issue: 7, pages: 2352 - 2360
• Witte M
  Role of local field potentials in encoding hand movement kinematics.
  2011 J Neurophysiol, volume: 106, issue: 4, pages: 1601 - 1603
• Yim MY, Aertsen A, Kumar A
  Significance of input correlations in striatal function.
  2011 Plos Comput Biol, volume: 7, issue: 11, pages: e1002254 - e1002254
• Feldwisch-Drentrup H, Schulze-Bonhage A, Timmer J, Schelter B
  Statistical validation of event predictors: a comparative study based on the field of seizure prediction.
  2011 Phys Rev E, volume: 83, issue: 6 Pt 2, pages: 066704 - 066704
• Volz F, Bock HH, Gierthmuehlen M, Zentner J, Haas CA, Freiman TM
  Stereologic estimation of hippocampal GluR2/3- and calretinin-immunoreactive hilar neurons (presumptive mossy cells) in two mouse models of temporal lobe epilepsy.
  2011 Epilepsia, volume: 52, issue: 9, pages: 1579 - 1589
• Fucke T, Suchanek D, Nawrot MP, Seamari Y, Heck DH, Aertsen A, Boucsein C
  Stereotypical spatiotemporal activity patterns during slow-wave activity in the neocortex.
  2011 J Neurophysiol, volume: 106, issue: 6, pages: 3035 - 3044
• Rzesnitzek L, Wachter T, Kruger R, Gharabaghi A, Plewnia C
  Suppression of extrapyramidal side effects of doxepin by thalamic deep brain stimulation for Tourette syndrome.
  2011 Neurology, volume: 77, issue: 18, pages: 1708 - 1709
• Atique B, Erb M, Gharabaghi A, Grodd W, Anders S
  Task-specific activity and connectivity within the mentalizing network during emotion and intention mentalizing.
  2011 Neuroimage, volume: 55, issue: 4, pages: 1899 - 1911
• Schulze-Bonhage A, Feldwisch-Drentrup H, Ihle M
  The role of high-quality EEG databases in the improvement and assessment of seizure prediction methods.
  2011 Epilepsy Behav, volume: 22 Suppl 1, pages: S88 - S93
• Kumar A, Cardanobile S, Rotter S, Aertsen A
  The role of inhibition in generating and controlling Parkinson's disease oscillations in the Basal Ganglia.
  2011 Front Syst Neurosci, volume: 5, pages: 86 - 86
• Gomez-Rodriguez M, Grosse-Wentrup M, Hill J, Gharabaghi A, Scholkopf B, Peters J
  Towards brain-robot interfaces in stroke rehabilitation.
  2011 IEEE Int Conf Rehabil Robot, volume: 2011, pages: 5975385 - 5975385
• Murguialday AR, Hill J, Bensch M, Martens S, Halder S, Nijboer F, Schoelkopf B, Birbaumer N, Gharabaghi A
  Transition from the locked in to the completely locked-in state: a physiological analysis.
  2011 Clin Neurophysiol, volume: 122, issue: 5, pages: 925 - 933

2010

• Schelter B, Feldwisch-Drentrup H, Timmer J, Gotman J, Schulze-Bonhage A
  A common strategy and database to compare the performance of seizure prediction algorithms.
  2010 Epilepsy Behav, volume: 17, issue: 2, pages: 154 - 156
• Teixeira CA, Direito B, Costa RP, Valderrama M, Feldwisch-Drentrup H, Nikolopoulos S, Le Van Quyen M, Schelter B, Dourado A
  A computational environment for long-term multi-feature and multi-algorithm seizure prediction.
  2010 Conf Proc IEEE Eng Med Biol Soc, volume: 2010, pages: 6341 - 6344
• Hanuschkin A, Kunkel S, Helias M, Morrison A, Diesmann M
  A general and efficient method for incorporating precise spike times in globally
  2010 Front Neuroinform, volume: 4, pages: 113 - 113
• Voges N, Schüz A, Aertsen A, Rotter S
  A modeler's view on the spatial structure of intrinsic horizontal connectivity in the neocortex.
  2010 Prog Neurobiol, volume: 92, issue: 3, pages: 277 - 292
• Escolano C, Ramos Murguialday A, Matuz T, Birbaumer N, Minguez J
  A telepresence robotic system operated with a P300-based brain-computer interface: initial tests with ALS patients.
  2010 Conf Proc IEEE Eng Med Biol Soc, volume: 2010, pages: 4476 - 4480
• Veit R, Lotze M, Sewing S, Missenhardt H, Gaber T, Birbaumer N
  Aberrant social and cerebral responding in a competitive reaction time paradigm in criminal psychopaths.
  2010 Neuroimage, volume: 49, issue: 4, pages: 3365 - 3372
• Halder S, Rea M, Andreoni R, Nijboer F, Hammer EM, Kleih SC, Birbaumer N, Kubler A
  An auditory oddball brain-computer interface for binary choices.
  2010 Clin Neurophysiol, volume: 121, issue: 4, pages: 516 - 523
• Franke F, Natora M, Boucsein C, Munk MH, Obermayer K
  An online spike detection and spike classification algorithm capable of instantaneous resolution of overlapping spikes.
  2010 J Comput Neurosci, volume: 29, issue: 1-2, pages: 127 - 148
• Fukai T, Ikegaya Y, Rotter S
  Analysis and modeling of massively parallel neural signals-2010 special issue.
  2010 Neural Networks, volume: 23, issue: 6, pages: 667 - 668
• Sokolov AA, Gharabaghi A, Tatagiba MS, Pavlova M
  Cerebellar engagement in an action observation network.
  2010 Cereb Cortex, volume: 20, issue: 2, pages: 486 - 491
• Hassler C, von Metzen RP, Ruther P, Stieglitz T
  Characterization of parylene C as an encapsulation material for implanted neural prostheses.
  2010 J Biomed Mater Res B, volume: 93, issue: 1, pages: 266 - 274
• Broetz D, Braun C, Weber C, Soekadar SR, Caria A, Birbaumer N
  Combination of brain-computer interface training and goal-directed physical therapy in chronic stroke: a case report.
  2010 Neurorehab Neural Re, volume: 24, issue: 7, pages: 674 - 679
• Cosandier-Rimele D, Merlet I, Bartolomei F, Badier JM, Wendling F
  Computational modeling of epileptic activity: from cortical sources to EEG signals.
  2010 J Clin Neurophysiol, volume: 27, issue: 6, pages: 465 - 470
• Matuz T, Birbaumer N, Hautzinger M, Kubler A
  Coping with amyotrophic lateral sclerosis: an integrative view.
  2010 J Neurol Neurosur Ps, volume: 81, issue: 8, pages: 893 - 898
• Staude B, Rotter S, Grün S
  CuBIC: cumulant based inference of higher-order correlations in massively parallel spike trains.
  2010 J Comput Neurosci, volume: 29, issue: 1-2, pages: 327 - 350
• Hu H, Martina M, Jonas P
  Dendritic mechanisms underlying rapid synaptic activation of fast-spiking hippocampal interneurons.
  2010 Science, volume: 327, issue: 5961, pages: 52 - 58
• Nörenberg A, Hu H, Vida I, Bartos M, Jonas P
  Distinct nonuniform cable properties optimize rapid and efficient activation of
  2010 P Natl Acad Sci Usa, volume: 107, issue: 2, pages: 894 - 899
• Lee S, Halder S, Kubler A, Birbaumer N, Sitaram R
  Effective functional mapping of fMRI data with support-vector machines.
  2010 Hum Brain Mapp, volume: 31, issue: 10, pages: 1502 - 1511
• Förster E, Bock HH, Herz J, Chai X, Frotscher M, Zhao S
  Emerging topics in Reelin function.
  2010 Eur J Neurosci, volume: 31, issue: 9, pages: 1511 - 1518
• Potjans W, Morrison A, Diesmann M
  Enabling functional neural circuit simulations with distributed computing of neuromodulated plasticity.
  2010 Front Comput Neurosc, volume: 4, pages: 141 - 141
• Ciocchi S, Herry C, Grenier F, Wolff SB, Letzkus JJ, Vlachos I, Ehrlich I, Sprengel R, Deisseroth K, Stadler MB, Muller C, Luthi A
  Encoding of conditioned fear in central amygdala inhibitory circuits.
  2010 Nature, volume: 468, issue: 7321, pages: 277 - 282
• Helias M, Deger M, Diesmann M, Rotter S
  Equilibrium and Response Properties of the Integrate-and-Fire Neuron in Discrete Time.
  2010 Front Comput Neurosc, volume: 3, pages: 29 - 29
• Jarvis S, Rotter S, Egert U
  Extending stability through hierarchical clusters in echo state networks.
  2010 Front Neuroinform, volume: 4
• Kremkow J, Perrinet LU, Masson GS, Aertsen A
  Functional consequences of correlated excitatory and inhibitory conductances in cortical networks.
  2010 J Comput Neurosci, volume: 28, issue: 3, pages: 579 - 594
• Gürel T, Rotter S, Egert U
  Functional identification of biological neural networks using reservoir adaptation for point processes.
  2010 J Comput Neurosci, volume: 29, issue: 1-2, pages: 279 - 299
• Kremkow J, Aertsen A, Kumar A
  Gating of signal propagation in spiking neural networks by balanced and correlated excitation and inhibition.
  2010 J Neurosci, volume: 30, issue: 47, pages: 15760 - 15768
• Zhao S, Frotscher M
  Go or stop? Divergent roles of Reelin in radial neuronal migration.
  2010 Neuroscientist, volume: 16, issue: 4, pages: 421 - 434
• Staude B, Grün S, Rotter S
  Higher-order correlations in non-stationary parallel spike trains: statistical modeling and inference.
  2010 Front Comput Neurosc, volume: 4
• van Vugt MK, Schulze-Bonhage A, Litt B, Brandt A, Kahana MJ
  Hippocampal gamma oscillations increase with memory load.
  2010 J Neurosci, volume: 30, issue: 7, pages: 2694 - 2699
• Rubehn B, Stieglitz T
  In vitro evaluation of the long-term stability of polyimide as a material for neural implants.
  2010 Biomaterials, volume: 31, issue: 13, pages: 3449 - 3458
• Helias M, Deger M, Rotter S, Diesmann M
  Instantaneous non-linear processing by pulse-coupled threshold units.
  2010 Plos Comput Biol, volume: 6, issue: 9
• Weiss D, Wächter T, Breit S, Jacob SN, Pomper JK, Asmus F, Valls-Solé J, Plewnia C, Gasser T, Gharabaghi A, Kruger R
  Involuntary eyelid closure after STN-DBS: evidence for different pathophysiological entities.
  2010 J Neurol Neurosur Ps, volume: 81, issue: 9, pages: 1002 - 1007
• Feldwisch-Drentrup H, Schelter B, Jachan M, Nawrath J, Timmer J, Schulze-Bonhage A
  Joining the benefits: combining epileptic seizure prediction methods.
  2010 Epilepsia, volume: 51, issue: 8, pages: 1598 - 1606
• Schäfer MK, Nam YC, Moumen A, Keglowich L, Bouché E, Küffner M, Bock HH, Rathjen FG, Raoul C, Frotscher M
  L1 syndrome mutations impair neuronal L1 function at different levels by divergent mechanisms.
  2010 Neurobiol Dis, volume: 40, issue: 1, pages: 222 - 237
• Birbaumer N
  Memory: reconsolidation allows modification of motor memories.
  2010 Curr Biol, volume: 20, issue: 17, pages: R709 - R710
• Voges N, Guijarro C, Aertsen A, Rotter S
  Models of cortical networks with long-range patchy projections.
  2010 J Comput Neurosci, volume: 28, issue: 1, pages: 137 - 154
• Cardanobile S, Rotter S
  Multiplicatively interacting point processes and applications to neural modeling.
  2010 J Comput Neurosci, volume: 28, issue: 2, pages: 267 - 284
• Müller O, Bittner U, Krug H
  Narrative Identität bei Therapie mit „Hirnschrittmacher“ - Zur Integration von Patienten-Selbstbeschreibungen in die ethische Bewertung der tiefen Hirnstimulation
  2010 Ethik Med, volume: 22, pages: 303 - 315
• Schwarzwälder K, de Oliveira SC
  National Bernstein Network Computational Neuroscience
  2010 It-Information Technology, volume: 52, issue: 1, pages: 39 - 44
  
   
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• Wang W, Collinger JL, Perez MA, Tyler-Kabara EC, Cohen LG, Birbaumer N, Brose SW, Schwartz AB, Boninger ML, Weber DJ
  Neural interface technology for rehabilitation: exploiting and promoting neuroplasticity.
  2010 Phys Med Reh Clin N, volume: 21, issue: 1, pages: 157 - 178
• Lulé D, Diekmann V, Muller HP, Kassubek J, Ludolph AC, Birbaumer N
  Neuroimaging of multimodal sensory stimulation in amyotrophic lateral sclerosis.
  2010 J Neurol Neurosur Ps, volume: 81, issue: 8, pages: 899 - 906
• Stieglitz T
  Neuroprothetik und Neuromodulation - Forschungsansätze und klinische Praxis bei Therapie und Rehabilitation
  2010 Bundesgesundheitsbla, volume: 53, issue: 8, pages: 783 - 790
  
   
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• Deger M, Helias M, Cardanobile S, Atay FM, Rotter S
  Nonequilibrium dynamics of stochastic point processes with refractoriness.
  2010 Phys Rev E, volume: 82, issue: 2 Pt 1, pages: 021129 - 021129
• Brunne B, Zhao S, Derouiche A, Herz J, May P, Frotscher M, Bock HH
  Origin, maturation, and astroglial transformation of secondary radial glial cells in the developing dentate gyrus.
  2010 Glia, volume: 58, issue: 13, pages: 1553 - 1569
• Kowalski J, Geuting M, Paul S, Dieni S, Laurens J, Zhao S, Drakew A, Haas CA, Frotscher M, Vida I
  Proper layering is important for precisely timed activation of hippocampal mossy cells.
  2010 Cereb Cortex, volume: 20, issue: 9, pages: 2043 - 2054
• Lugert S, Basak O, Knuckles P, Haussler U, Fabel K, Götz M, Haas CA, Kempermann G, Taylor V, Giachino C
  Quiescent and active hippocampal neural stem cells with distinct morphologies respond selectively to physiological and pathological stimuli and aging.
  2010 Cell Stem Cell, volume: 6, issue: 5, pages: 445 - 456
• Haller S, Birbaumer N, Veit R
  Real-time fMRI feedback training may improve chronic tinnitus.
  2010 Eur Radiol, volume: 20, issue: 3, pages: 696 - 703
• Haas CA, Frotscher M
  Reelin deficiency causes granule cell dispersion in epilepsy.
  2010 Exp Brain Res, volume: 200, issue: 2, pages: 141 - 149
• Jacobs J, Korolev IO, Caplan JB, Ekstrom AD, Litt B, Baltuch G, Fried I, Schulze-Bonhage A, Madsen JR, Kahana MJ
  Right-lateralized brain oscillations in human spatial navigation.
  2010 J Cognitive Neurosci, volume: 22, issue: 5, pages: 824 - 836
• Frotscher M
  Role for Reelin in stabilizing cortical architecture.
  2010 Trends Neurosci, volume: 33, issue: 9, pages: 407 - 414
• Krüger MT, Zhao S, Chai X, Brunne B, Bouché E, Bock HH, Frotscher M
  Role for Reelin-induced cofilin phosphorylation in the assembly of sympathetic preganglionic neurons in the murine intermediolateral column.
  2010 Eur J Neurosci, volume: 32, issue: 10, pages: 1611 - 1617
• Djurfeldt M, Hjorth J, Eppler JM, Dudani N, Helias M, Potjans TC, Bhalla US, Diesmann M, Kotaleski JH, Ekeberg O
  Run-time interoperability between neuronal network simulators based on the MUSIC framework.
  2010 Neuroinformatics, volume: 8, issue: 1, pages: 43 - 60
• Tetzlaff C, Okujeni S, Egert U, Wörgötter F, Butz M
  Self-organized criticality in developing neuronal networks.
  2010 Plos Comput Biol, volume: 6, issue: 12, pages: e1001013 - e1001013
• Kumar A, Rotter S, Aertsen A
  Spiking activity propagation in neuronal networks: reconciling different perspectives on neural coding.
  2010 Nat Rev Neurosci, volume: 11, issue: 9, pages: 615 - 627
• Braun DA, Waldert S, Aertsen A, Wolpert DM, Mehring C
  Structure learning in a sensorimotor association task.
  2010 Plos One, volume: 5, issue: 1, pages: e8973 - e8973
• Braun DA, Mehring C, Wolpert DM
  Structure learning in action.
  2010 Behav Brain Res, volume: 206, issue: 2, pages: 157 - 165
• Ponulak F, Kasinski A
  Supervised learning in spiking neural networks with ReSuMe: sequence learning, classification, and spike shifting.
  2010 Neural Comput, volume: 22, issue: 2, pages: 467 - 510
• Louis S, Gerstein GL, Grün S, Diesmann M
  Surrogate spike train generation through dithering in operational time.
  2010 Front Comput Neurosc, volume: 4, pages: 127 - 127
• Fischer T, Langner R, Diers K, Brocke B, Birbaumer N
  Temporo-spatial dynamics of event-related EEG beta activity during the initial contingent negative variation.
  2010 Plos One, volume: 5, issue: 9
• Pfurtscheller G, Allison BZ, Brunner C, Bauernfeind G, Solis-Escalante T, Scherer R, Zander TO, Mueller-Putz G, Neuper C, Birbaumer N
  The hybrid BCI.
  2010 Front Neurosci-switz, volume: 4, pages: 30 - 30
• Nijboer F, Birbaumer N, Kubler A
  The influence of psychological state and motivation on brain-computer interface performance in patients with amyotrophic lateral sclerosis - a longitudinal study.
  2010 Front Neurosci-switz, volume: 4
• Wagener RJ, David C, Zhao S, Haas CA, Staiger JF
  The somatosensory cortex of reeler mutant mice shows absent layering but intact formation and behavioral activation of columnar somatotopic maps.
  2010 J Neurosci, volume: 30, issue: 46, pages: 15700 - 15709
• Karim AA, Schneider M, Lotze M, Veit R, Sauseng P, Braun C, Birbaumer N
  The truth about lying: inhibition of the anterior prefrontal cortex improves deceptive behavior.
  2010 Cereb Cortex, volume: 20, issue: 1, pages: 205 - 213
• Mutschler I, Wieckhorst B, Speck O, Schulze-Bonhage A, Hennig J, Seifritz E, Ball T
  Time scales of auditory habituation in the amygdala and cerebral cortex.
  2010 Cereb Cortex, volume: 20, issue: 11, pages: 2531 - 2539
• Acioly MA, Liebsch M, Carvalho CH, Gharabaghi A, Tatagiba M
  Transcranial electrocortical stimulation to monitor the facial nerve motor function during cerebellopontine angle surgery.
  2010 Neurosurgery, volume: 66, issue: 6 Suppl Operative, pages: 354 - 61; discussion 362
• Caria A, Sitaram R, Veit R, Begliomini C, Birbaumer N
  Volitional control of anterior insula activity modulates the response to aversive stimuli. A real-time functional magnetic resonance imaging study.
  2010 Biol Psychiat, volume: 68, issue: 5, pages: 425 - 432
• Volpato C, Piccione F, Silvoni S, Cavinato M, Palmieri A, Meneghello F, Birbaumer N
  Working memory in amyotrophic lateral sclerosis: auditory event-related potentials and neuropsychological evidence.
  2010 J Clin Neurophysiol, volume: 27, issue: 3, pages: 198 - 206

2009

• Waldert S, Pistohl T, Braun C, Ball T, Aertsen A, Mehring C
  A review on directional information in neural signals for brain-machine interfaces.
  2009 J Physiol-paris, volume: 103, issue: 3-5, pages: 244 - 254
• Potjans W, Morrison A, Diesmann M
  A spiking neural network model of an actor-critic learning agent.
  2009 Neural Comput, volume: 21, issue: 2, pages: 301 - 339
• Furdea A, Halder S, Krusienski DJ, Bross D, Nijboer F, Birbaumer N, Kübler A
  An auditory oddball (P300) spelling system for brain-computer interfaces.
  2009 Psychophysiology, volume: 46, issue: 3, pages: 617 - 625
• Ball T, Derix J, Wentlandt J, Wieckhorst B, Speck O, Schulze-Bonhage A, Mutschler I
  Anatomical specificity of functional amygdala imaging of responses to stimuli with positive and negative emotional valence.
  2009 J Neurosci Meth, volume: 180, issue: 1, pages: 57 - 70
• Schelter B, Timmer J, Eichler M
  Assessing the strength of directed influences among neural signals using renormalized partial directed coherence.
  2009 J Neurosci Meth, volume: 179, issue: 1, pages: 121 - 130
• Kriener B, Helias M, Aertsen A, Rotter S
  Correlations in spiking neuronal networks with distance dependent connections.
  2009 J Comput Neurosci, volume: 27, issue: 2, pages: 177 - 200
• Ball T, Schulze-Bonhage A, Aertsen A, Mehring C
  Differential representation of arm movement direction in relation to cortical anatomy and function.
  2009 J Neural Eng, volume: 6, issue: 1, pages: 016006 - 016006
• Rickert J, Riehle A, Aertsen A, Rotter S, Nawrot MP
  Dynamic encoding of movement direction in motor cortical neurons.
  2009 J Neurosci, volume: 29, issue: 44, pages: 13870 - 13882
• Boucsein C, Tetzlaff T, Meier R, Aertsen A, Naundorf B
  Dynamical response properties of neocortical neuron ensembles: multiplicative versus additive noise.
  2009 J Neurosci, volume: 29, issue: 4, pages: 1006 - 1010
• Dockery CA, Hueckel-Weng R, Birbaumer N, Plewnia C
  Enhancement of planning ability by transcranial direct current stimulation.
  2009 J Neurosci, volume: 29, issue: 22, pages: 7271 - 7277
• Müller MC, Osswald M, Tinnes S, Haussler U, Jacobi A, Förster E, Frotscher M, Haas CA
  Exogenous reelin prevents granule cell dispersion in experimental epilepsy.
  2009 Exp Neurol, volume: 216, issue: 2, pages: 390 - 397
• Mutschler I, Wieckhorst B, Kowalevski S, Derix J, Wentlandt J, Schulze-Bonhage A, Ball T
  Functional organization of the human anterior insular cortex.
  2009 Neurosci Lett, volume: 457, issue: 2, pages: 66 - 70
• Mantovani M, Moser A, Haas CA, Zentner J, Feuerstein TJ
  GABA(A) autoreceptors enhance GABA release from human neocortex: towards a mechanism for high-frequency stimulation (HFS) in brain?
  2009 N-s Arch Pharmacol, volume: 380, issue: 1, pages: 45 - 58
• Sitaram R, Caria A, Birbaumer N
  Hemodynamic brain-computer interfaces for communication and rehabilitation.
  2009 Neural Networks, volume: 22, issue: 9, pages: 1320 - 1328
• Jedlicka P, Schwarzacher SW, Winkels R, Kienzler F, Frotscher M, Bramham CR, Schultz C, Bas Orth C, Deller T
  Impairment of in vivo theta-burst long-term potentiation and network excitability in the dentate gyrus of synaptopodin-deficient mice lacking the spine apparatus and the cisternal organelle.
  2009 Hippocampus, volume: 19, issue: 2, pages: 130 - 140
• Cordeiro JG, Capurro A, Aertsen A, Cordeiro KK, Araujo JC, Schulze-Bonhage A
  Improvement in hippocampal kindling analysis through computational processing data.
  2009 Arq Neuro-psiquiat, volume: 67, issue: 3A, pages: 677 - 683
• Stegen M, Young CC, Haas CA, Zentner J, Wolfart J
  Increased leak conductance in dentate gyrus granule cells of temporal lobe epilepsy patients with Ammon's horn sclerosis.
  2009 Epilepsia, volume: 50, issue: 4, pages: 646 - 653
• Braun DA, Aertsen A, Wolpert DM, Mehring C
  Learning optimal adaptation strategies in unpredictable motor tasks.
  2009 J Neurosci, volume: 29, issue: 20, pages: 6472 - 6478
• Frey U, Egert U, Heer F, Hafizovic S, Hierlemann A
  Microelectronic system for high-resolution mapping of extracellular electric fields applied to brain slices.
  2009 Biosens Bioelectron, volume: 24, issue: 7, pages: 2191 - 2198
• Braun DA, Aertsen A, Wolpert DM, Mehring C
  Motor task variation induces structural learning.
  2009 Curr Biol, volume: 19, issue: 4, pages: 352 - 357
• Braun DA, Ortega PA, Wolpert DM
  Nash equilibria in multi-agent motor interactions.
  2009 Plos Comput Biol, volume: 5, issue: 8, pages: e1000468 - e1000468
• Birbaumer N, Ramos Murguialday A, Weber C, Montoya P
  Neurofeedback and brain-computer interface clinical applications.
  2009 Int Rev Neurobiol, volume: 86, pages: 107 - 117
• Kirsch JA, Vlachos I, Hausmann M, Rose J, Yim MY, Aertsen A, Güntürkün O
  Neuronal encoding of meaning: establishing category-selective response patterns in the avian 'prefrontal cortex'.
  2009 Behav Brain Res, volume: 198, issue: 1, pages: 214 - 223
• Gu Y, Farina D, Murguialday AR, Dremstrup K, Montoya P, Birbaumer N
  Offline Identification of Imagined Speed of Wrist Movements in Paralyzed ALS Patients from Single-Trial EEG.
  2009 Front Neurosci-switz, volume: 3, pages: 62 - 62
• Cardanobile S, Mugnolo D
  Parabolic systems with coupled boundary conditions
  2009 J Differ Equations, volume: 247, issue: 4, pages: 1229 - 1248
• Gharabaghi A, Kunath F, Erb M, Saur R, Heckl S, Tatagiba M, Grodd W, Karnath HO
  Perisylvian white matter connectivity in the human right hemisphere.
  2009 Bmc Neurosci, volume: 10, pages: 15 - 15
• Nawrot MP, Schnepel P, Aertsen A, Boucsein C
  Precisely timed signal transmission in neocortical networks with reliable intermediate-range projections.
  2009 Front Neural Circuit, volume: 3, pages: 1 - 1
• Kotchoubey B, Kaiser J, Bostanov V, Lutzenberger W, Birbaumer N
  Recognition of affective prosody in brain-damaged patients and healthy controls: a neurophysiological study using EEG and whole-head MEG.
  2009 Cogn Affect Behav Ne, volume: 9, issue: 2, pages: 153 - 167
• Chai X, Förster E, Zhao S, Bock HH, Frotscher M
  Reelin stabilizes the actin cytoskeleton of neuronal processes by inducing n-cofilin phosphorylation at serine3.
  2009 J Neurosci, volume: 29, issue: 1, pages: 288 - 299
• Frotscher M, Chai X, Bock HH, Haas CA, Förster E, Zhao S
  Role of Reelin in the development and maintenance of cortical lamination.
  2009 J Neural Transm, volume: 116, issue: 11, pages: 1451 - 1455
• Schulz JM, Redgrave P, Mehring C, Aertsen A, Clements KM, Wickens JR, Reynolds JN
  Short-latency activation of striatal spiny neurons via subcortical visual pathways.
  2009 J Neurosci, volume: 29, issue: 19, pages: 6336 - 6347
• Ball T, Kern M, Mutschler I, Aertsen A, Schulze-Bonhage A
  Signal quality of simultaneously recorded invasive and non-invasive EEG.
  2009 Neuroimage, volume: 46, issue: 3, pages: 708 - 716
• Guetg N, Seddik R, Vigot R, Turecek R, Gassmann M, Vogt KE, Bräuner-Osborne H, Shigemoto R, Kretz O, Frotscher M, Kulik A, Bettler B
  The GABAB1a isoform mediates heterosynaptic depression at hippocampal mossy fiber synapses.
  2009 J Neurosci, volume: 29, issue: 5, pages: 1414 - 1423
• Cardanobile S, Mugnolo D
  Toward a gauge theory for evolution equations on vector-valued spaces
  2009 J Math Phys, volume: 50, issue: 10, page: 103520
• Young CC, Stegen M, Bernard R, Müller M, Bischofberger J, Veh RW, Haas CA, Wolfart J
  Upregulation of inward rectifier K+ (Kir2) channels in dentate gyrus granule cells in temporal lobe epilepsy.
  2009 J Physiol-london, volume: 587, issue: Pt 17, pages: 4213 - 4233
• Grah G, Rotter S
  Von Neuronen zu Netzwerken. Mathematische Gehirnmodelle
  2009 Biologie in unserer Zeit, volume: 39, issue: 6, pages: 418 - 425

2008

• Schmidt-Hieber C, Jonas P, Bischofberger J
  Action potential initiation and propagation in hippocampal mossy fibre axons.
  2008 J Physiol-london, volume: 586, issue: 7, pages: 1849 - 1857
• Schad A, Schindler K, Schelter B, Maiwald T, Brandt A, Timmer J, Schulze-Bonhage A
  Application of a multivariate seizure detection and prediction method to non-invasive and intracranial long-term EEG recordings.
  2008 Clin Neurophysiol, volume: 119, issue: 1, pages: 197 - 211
• Birbaumer N, Murguialday AR, Cohen L
  Brain-computer interface in paralysis.
  2008 Curr Opin Neurol, volume: 21, issue: 6, pages: 634 - 638
• Staude B, Rotter S, Grün S
  Can spike coordination be differentiated from rate covariation?
  2008 Neural Comput, volume: 20, issue: 8, pages: 1973 - 1999
• Kumar A, Rotter S, Aertsen A
  Conditions for propagating synchronous spiking and asynchronous firing rates in a cortical network model.
  2008 J Neurosci, volume: 28, issue: 20, pages: 5268 - 5280
• Kriener B, Tetzlaff T, Aertsen A, Diesmann M, Rotter S
  Correlations and population dynamics in cortical networks.
  2008 Neural Comput, volume: 20, issue: 9, pages: 2185 - 2226
• Tetzlaff T, Rotter S, Stark E, Abeles M, Aertsen A, Diesmann M
  Dependence of neuronal correlations on filter characteristics and marginal spike train statistics.
  2008 Neural Comput, volume: 20, issue: 9, pages: 2133 - 2184
• Meier R, Dittrich H, Schulze-Bonhage A, Aertsen A
  Detecting epileptic seizures in long-term human EEG: a new approach to automatic online and real-time detection and classification of polymorphic seizure patterns.
  2008 J Clin Neurophysiol, volume: 25, issue: 3, pages: 119 - 131
• Schrader S, Grün S, Diesmann M, Gerstein GL
  Detecting synfire chain activity using massively parallel spike train recording.
  2008 J Neurophysiol, volume: 100, issue: 4, pages: 2165 - 2176
• Aponte Y, Bischofberger J, Jonas P
  Efficient Ca2+ buffering in fast-spiking basket cells of rat hippocampus.
  2008 J Physiol-london, volume: 586, issue: 8, pages: 2061 - 2075
• Meier R, Egert U, Aertsen A, Nawrot MP
  FIND-a unified framework for neural data analysis.
  2008 Neural Networks, volume: 21, issue: 8, pages: 1085 - 1093
• Herz AV, Meier R, Nawrot MP, Schiegel W, Zito T
  G-Node: an integrated tool-sharing platform to support cellular and systems neurophysiology in the age of global neuroinformatics.
  2008 Neural Networks, volume: 21, issue: 8, pages: 1070 - 1075
• Waldert S, Preissl H, Demandt E, Braun C, Birbaumer N, Aertsen A, Mehring C
  Hand movement direction decoded from MEG and EEG.
  2008 J Neurosci, volume: 28, issue: 4, pages: 1000 - 1008
• Atmanspacher H, Rotter S
  Interpreting neurodynamics: concepts and facts.
  2008 Cogn Neurodynamics, volume: 2, issue: 4, pages: 297 - 318
• Nawrot MP, Boucsein C, Rodriguez Molina V, Riehle A, Aertsen A, Rotter S
  Measurement of variability dynamics in cortical spike trains.
  2008 J Neurosci Meth, volume: 169, issue: 2, pages: 374 - 390
• Ball T, Demandt E, Mutschler I, Neitzel E, Mehring C, Vogt K, Aertsen A, Schulze-Bonhage A
  Movement related activity in the high gamma range of the human EEG.
  2008 Neuroimage, volume: 41, issue: 2, pages: 302 - 310
• Henschel K, Hellwig, B, Amtage F, Vesper J, Jachan M, Lücking CH, Timmer J, Schelter B
  Multivariate analysis of dynamical processes. Point processes and time series
  2008 The European Physical Journal Special Topics, volume: 165, issue: 1, pages: 25 - 34
• Najm J, Horn D, Wimplinger I, Golden JA, Chizhikov VV, Sudi J, Christian SL, Ullmann R, Kuechler A, Haas CA, Flubacher A, Charnas LR, Uyanik G, Frank U, Klopocki E, Dobyns WB, Kutsche K
  Mutations of CASK cause an X-linked brain malformation phenotype with microcephaly and hypoplasia of the brainstem and cerebellum.
  2008 Nat Genet, volume: 40, issue: 9, pages: 1065 - 1067
• Bucurenciu I, Kulik A, Schwaller B, Frotscher M, Jonas P
  Nanodomain coupling between Ca2+ channels and Ca2+ sensors promotes fast and efficient transmitter release at a cortical GABAergic synapse.
  2008 Neuron, volume: 57, issue: 4, pages: 536 - 545
• Heinrich SP, Aertsen A, Bach M
  Oblique effects beyond low-level visual processing.
  2008 Vision Res, volume: 48, issue: 6, pages: 809 - 818
• Morrison A, Diesmann M, Gerstner W
  Phenomenological models of synaptic plasticity based on spike timing.
  2008 Biol Cybern, volume: 98, issue: 6, pages: 459 - 478
• Doischer D, Hosp JA, Yanagawa Y, Obata K, Jonas P, Vida I, Bartos M
  Postnatal differentiation of basket cells from slow to fast signaling devices.
  2008 J Neurosci, volume: 28, issue: 48, pages: 12956 - 12968
• Pistohl T, Ball T, Schulze-Bonhage A, Aertsen A, Mehring C
  Prediction of arm movement trajectories from ECoG-recordings in humans.
  2008 J Neurosci Meth, volume: 167, issue: 1, pages: 105 - 114
• Eppler JM, Helias M, Muller E, Diesmann M, Gewaltig MO
  PyNEST: A Convenient Interface to the NEST Simulator.
  2008 Front Neuroinform, volume: 2, pages: 12 - 12
• Davison AP, Bruderle D, Eppler J, Kremkow J, Muller E, Pecevski D, Perrinet L, Yger P
  PyNN: A Common Interface for Neuronal Network Simulators.
  2008 Front Neuroinform, volume: 2, pages: 11 - 11
• Helias M, Rotter S, Gewaltig MO, Diesmann M
  Structural plasticity controlled by calcium based correlation detection. helias@bccn.uni-freiburg.de.
  2008 Front Comput Neurosc, volume: 2, pages: 7 - 7
• Kumar A, Schrader S, Aertsen A, Rotter S
  The high-conductance state of cortical networks.
  2008 Neural Comput, volume: 20, issue: 1, pages: 1 - 43
• Goedeke S, Diesmann M
  The mechanism of synchronization in feed-forward neuronal networks
  2008 New J Phys, volume: 10, page: 015007
• Kerr AM, Jonas P
  The two sides of hippocampal mossy fiber plasticity.
  2008 Neuron, volume: 57, issue: 1, pages: 5 - 7
• Amtage F, Henschel K, Schelter B, Vesper J, Timmer J, Lucking CH, Hellwig B
  Tremor-correlated neuronal activity in the subthalamic nucleus of Parkinsonian patients.
  2008 Neurosci Lett, volume: 442, issue: 3, pages: 195 - 199

2007

• Mutschler I, Schulze-Bonhage A, Glauche V, Demandt E, Speck O, Ball T
  A rapid sound-action association effect in human insular cortex.
  2007 Plos One, volume: 2, issue: 2, pages: e259 - e259
• Deller T, Bas Orth C, Del Turco D, Vlachos A, Burbach GJ, Drakew A, Chabanis S, Korte M, Schwegler H, Haas CA, Frotscher M
  A role for synaptopodin and the spine apparatus in hippocampal synaptic plasticity.
  2007 Ann Anat, volume: 189, issue: 1, pages: 5 - 16
• Blumberg J, Rickert J, Waldert S, Schulze-Bonhage A, Aertsen A, Mehring C
  Adaptive classification for brain computer interfaces.
  2007 Conf Proc IEEE Eng Med Biol Soc, volume: 2007, pages: 2536 - 2539
• Quiske A, Unterrainer J, Wagner K, Frings L, Breyer T, Halsband U, Ostertag C, Elger CE, Ebner A, Tuxhorn I, Ernst JP, Steinhoff BJ, Mayer T, Schulze-Bonhage A
  Assessment of cognitive functions before and after stereotactic interstitial radiosurgery of hypothalamic hamartomas in patients with gelastic seizures.
  2007 Epilepsy Behav, volume: 10, issue: 2, pages: 328 - 332
• Zhao S, Chai X, Frotscher M
  Balance between neurogenesis and gliogenesis in the adult hippocampus: role for reelin.
  2007 Dev Neurosci-basel, volume: 29, issue: 1-2, pages: 84 - 90
• Meier R, Kumar A, Schulze-Bonhage A, Aertsen A
  Comparison of dynamical states of random networks with human EEG
  2007 Neurocomputing, volume: 70, issue: 10, pages: 1843 - 1847
• Waldert S, Braun C, Preissl H, Birbaumer N, Aertsen A, Mehring C
  Decoding performance for hand movements: EEG vs. MEG.
  2007 Conf Proc IEEE Eng Med Biol Soc, volume: 2007, pages: 5346 - 5348
• Frotscher M, Zhao S, Förster E
  Development of cell and fiber layers in the dentate gyrus.
  2007 Prog Brain Res, volume: 163, pages: 133 - 142
• Li L, Bischofberger J, Jonas P
  Differential gating and recruitment of P/Q-, N-, and R-type Ca2+ channels in hippocampal mossy fiber boutons.
  2007 J Neurosci, volume: 27, issue: 49, pages: 13420 - 13429
• Hack I, Hellwig S, Junghans D, Brunne B, Bock HH, Zhao S, Frotscher M
  Divergent roles of ApoER2 and Vldlr in the migration of cortical neurons.
  2007 Development, volume: 134, issue: 21, pages: 3883 - 3891
• Reppel M, Igelmund P, Egert U, Juchelka F, Hescheler J, Drobinskaya I
  Effect of cardioactive drugs on action potential generation and propagation in embryonic stem cell-derived cardiomyocytes.
  2007 Cell Physiol Biochem, volume: 19, issue: 5-6, pages: 213 - 224
• Kremkow J, Kumar A, Rotter S, Aertsen A
  Emergence of population synchrony in a layered network of the cat visual cortex
  2007 Neurocomputing, volume: 70, issue: 10, pages: 2069 - 2073
• Morrison A, Straube S, Plesser HE, Diesmann M
  Exact subthreshold integration with continuous spike times in discrete-time neural network simulations.
  2007 Neural Comput, volume: 19, issue: 1, pages: 47 - 79
• Fahrner A, Kann G, Flubacher A, Heinrich C, Freiman TM, Zentner J, Frotscher M, Haas CA
  Granule cell dispersion is not accompanied by enhanced neurogenesis in temporal lobe epilepsy patients.
  2007 Exp Neurol, volume: 203, issue: 2, pages: 320 - 332
• Sederberg PB, Schulze-Bonhage A, Madsen JR, Bromfield EB, McCarthy DC, Brandt A, Tully MS, Kahana MJ
  Hippocampal and neocortical gamma oscillations predict memory formation in humans.
  2007 Cereb Cortex, volume: 17, issue: 5, pages: 1190 - 1196
• Bender RA, Kirschstein T, Kretz O, Brewster AL, Richichi C, Rüschenschmidt C, Shigemoto R, Beck H, Frotscher M, Baram TZ
  Localization of HCN1 channels to presynaptic compartments: novel plasticity that may contribute to hippocampal maturation.
  2007 J Neurosci, volume: 27, issue: 17, pages: 4697 - 4706
• Bas Orth C, Schultz C, Muller CM, Frotscher M, Deller T
  Loss of the cisternal organelle in the axon initial segment of cortical neurons in synaptopodin-deficient mice.
  2007 J Comp Neurol, volume: 504, issue: 5, pages: 441 - 449
• Frotscher M, Zhao S, Graber W, Drakew A, Studer D
  New ways of looking at synapses.
  2007 Histochem Cell Biol, volume: 128, issue: 2, pages: 91 - 96
• Reinhard M, Wehrle-Wieland E, Roth M, Niesen WD, Timmer J, Weiller C, Hetzel A
  Preserved dynamic cerebral autoregulation in the middle cerebral artery among persons with migraine.
  2007 Exp Brain Res, volume: 180, issue: 3, pages: 517 - 523
• Gürel T, de Raedt L, Rotter S
  Ranking neurons for mining structure - activity relations in biological neural networks: NeuronRank
  2007 Neurocomputing, volume: 70, issue: 10, pages: 1897 - 1901
• Shin SL, Hoebeek FE, Schonewille M, De Zeeuw CI, Aertsen A, De Schutter E
  Regular patterns in cerebellar Purkinje cell simple spike trains.
  2007 Plos One, volume: 2, issue: 5, pages: e485 - e485
• Ball T, Rahm B, Eickhoff SB, Schulze-Bonhage A, Speck O, Mutschler I
  Response properties of human amygdala subregions: evidence based on functional MRI combined with probabilistic anatomical maps.
  2007 Plos One, volume: 2, issue: 3, pages: e307 - e307
• Smirnov D, Schelter B, Winterhalder M, Timmer J
  Revealing direction of coupling between neuronal oscillators from time series: phase dynamics modeling versus partial directed coherence.
  2007 Chaos, volume: 17, issue: 1, pages: 013111 - 013111
• Schelter B, Winterhalder M, Feldwisch genannt Drentrup H, Wohlmuth J, Nawrath J, Brandt A, Schulze-Bonhage A, Timmer J
  Seizure prediction: the impact of long prediction horizons.
  2007 Epilepsy Res, volume: 73, issue: 2, pages: 213 - 217
• Nawrot MP, Boucsein C, Rodriguez-Molina V, Aertsen A, Grün S, Rotter S
  Serial interval statistics of spontaneous activity in cortical neurons in vivo and in vitro
  2007 Neurocomputing, volume: 70, issue: 10, pages: 1717 - 1722
• Meier R, Häussler U, Aertsen A, Deransart C, Depaulis A, Egert U
  Short-term changes in bilateral hippocampal coherence precede epileptiform events.
  2007 Neuroimage, volume: 38, issue: 1, pages: 138 - 149
• Rodriguez-Molina VM, Aertsen A, Heck DH
  Spike timing and reliability in cortical pyramidal neurons: effects of EPSC kinetics, input synchronization and background noise on spike timing.
  2007 Plos One, volume: 2, issue: 3, pages: e319 - e319
• Morrison A, Aertsen A, Diesmann M
  Spike-timing-dependent plasticity in balanced random networks.
  2007 Neural Comput, volume: 19, issue: 6, pages: 1437 - 1467
• Voges N, Aertsen A, Rotter S
  Statistical analysis of spatially embedded networks: From grid to random node positions
  2007 Neurocomputing, volume: 70, issue: 10, pages: 1833 - 1837
• Shin SL, Rotter S, Aertsen A, De Schutter E
  Stochastic description of complex and simple spike firing in cerebellar Purkinje cells.
  2007 Eur J Neurosci, volume: 25, issue: 3, pages: 785 - 794
• Rollenhagen A, Sätzler K, Rodriguez EP, Jonas P, Frotscher M, Lubke JH
  Structural determinants of transmission at large hippocampal mossy fiber synapses.
  2007 J Neurosci, volume: 27, issue: 39, pages: 10434 - 10444
• Bartos M, Vida I, Jonas P
  Synaptic mechanisms of synchronized gamma oscillations in inhibitory interneuron networks.
  2007 Nat Rev Neurosci, volume: 8, issue: 1, pages: 45 - 56
• Bouzioukh F, Wilkinson GA, Adelmann G, Frotscher M, Stein V, Klein R
  Tyrosine phosphorylation sites in ephrinB2 are required for hippocampal long-term potentiation but not long-term depression.
  2007 J Neurosci, volume: 27, issue: 42, pages: 11279 - 11288

2006

• Backofen R, Borrmann HG, Deck W, Dedner A, de Raedt L, Desch K, Diesmann M, Geier M, Greiner A, Hess W, Honerkamp J, Jankowski S, Krossing I, Liehr A, Karwath A, Klöfkorn R, Pesché R, Potjans T, Röttger M, Schmiedt-Thieme L, Schneider G, Voß B, Wiebelt B, Wienemann P, Winterer VH
  A Bottom-up approach to Grid-Computing at a University: the Black-Forest-Grid Initiative
  2006 PIK - Praxis der Informationsverarbeitung und Kommunikation, volume: 29, issue: 2, pages: 81 - 87
• The YK, Timmer J
  Analysis of single ion channel data incorporating time-interval omission and sampling.
  2006 J R Soc Interface, volume: 3, issue: 6, pages: 87 - 97
• Bien CG, Schulze-Bonhage A, Soeder BM, Schramm J, Elger CE, Tiemeier H
  Assessment of the long-term effects of epilepsy surgery with three different reference groups.
  2006 Epilepsia, volume: 47, issue: 11, pages: 1865 - 1869
• Fauser S, Huppertz HJ, Bast T, Strobl K, Pantazis G, Altenmüller DM, Feil B, Rona S, Kurth C, Rating D, Korinthenberg R, Steinhoff BJ, Volk B, Schulze-Bonhage A
  Clinical characteristics in focal cortical dysplasia: a retrospective evaluation in a series of 120 patients.
  2006 Brain, volume: 129, issue: Pt 7, pages: 1907 - 1916
• Quiske A, Frings L, Wagner K, Unterrainer J, Schulze-Bonhage A
  Cognitive functions in juvenile and adult patients with gelastic epilepsy due to hypothalamic hamartoma.
  2006 Epilepsia, volume: 47, issue: 1, pages: 153 - 158
• Winterhalder M, Schelter B, Schulze-Bonhage A, Timmer J
  Comment on: "Performance of a seizure warning algorithm based on the dynamics of intracranial EEG".
  2006 Epilepsy Res, volume: 72, issue: 1, pages: 80 - 1; discussion 82
• Kulik A, Vida I, Fukazawa Y, Guetg N, Kasugai Y, Marker CL, Rigato F, Bettler B, Wickman K, Frotscher M, Shigemoto R
  Compartment-dependent colocalization of Kir3.2-containing K+ channels and GABAB receptors in hippocampal pyramidal cells.
  2006 J Neurosci, volume: 26, issue: 16, pages: 4289 - 4297
• Singec I, Knoth R, Meyer RP, Maciaczyk J, Volk B, Nikkhah G, Frotscher M, Snyder EY
  Defining the actual sensitivity and specificity of the neurosphere assay in stem cell biology.
  2006 Nat Methods, volume: 3, issue: 10, pages: 801 - 806
• Winterhalder M, Schelter B, Hesse W, Schwab K, Leistritz L, Timmer J, Witte H
  Detection of directed information flow in biosignals.
  2006 Biomed Tech, volume: 51, issue: 5-6, pages: 281 - 287
• Schelter B, Winterhalder M, Hellwig B, Guschlbauer B, Lucking CH, Timmer J
  Direct or indirect? Graphical models for neural oscillators.
  2006 J Physiol-paris, volume: 99, issue: 1, pages: 37 - 46
• Schelter B, Winterhalder M, Maiwald T, Brandt A, Schad A, Timmer J, Schulze-Bonhage A
  Do false predictions of seizures depend on the state of vigilance? A report from two seizure-prediction methods and proposed remedies.
  2006 Epilepsia, volume: 47, issue: 12, pages: 2058 - 2070
• Fauser S, Schulze-Bonhage A
  Epileptogenicity of cortical dysplasia in temporal lobe dual pathology: an electrophysiological study with invasive recordings.
  2006 Brain, volume: 129, issue: Pt 1, pages: 82 - 95
• Frings L, Wagner K, Unterrainer J, Spreer J, Halsband U, Schulze-Bonhage A
  Gender-related differences in lateralization of hippocampal activation and cognitive strategy.
  2006 Neuroreport, volume: 17, issue: 4, pages: 417 - 421
• Rizzuto DS, Madsen JR, Bromfield EB, Schulze-Bonhage A, Kahana MJ
  Human neocortical oscillations exhibit theta phase differences between encoding and retrieval.
  2006 Neuroimage, volume: 31, issue: 3, pages: 1352 - 1358
• Aponte Y, Lien CC, Reisinger E, Jonas P
  Hyperpolarization-activated cation channels in fast-spiking interneurons of rat hippocampus.
  2006 J Physiol-london, volume: 574, issue: Pt 1, pages: 229 - 243
• Sloviter RS, Zappone CA, Harvey BD, Frotscher M
  Kainic acid-induced recurrent mossy fiber innervation of dentate gyrus inhibitory interneurons: possible anatomical substrate of granule cell hyper-inhibition in chronically epileptic rats.
  2006 J Comp Neurol, volume: 494, issue: 6, pages: 944 - 960
• Förster E, Zhao S, Frotscher M
  Laminating the hippocampus.
  2006 Nat Rev Neurosci, volume: 7, issue: 4, pages: 259 - 267
• Rocamora R, Wagner K, Schulze-Bonhage A
  Levetiracetam reduces frequency and duration of epileptic activity in patients with refractory primary generalized epilepsy.
  2006 Seizure-eur J Epilep, volume: 15, issue: 6, pages: 428 - 433
• Guijarro C, Rutz S, Rothmaier K, Turiault M, Zhi Q, Naumann T, Frotscher M, Tronche F, Jackisch R, Kretz O
  Maturation and maintenance of cholinergic medial septum neurons require glucocorticoid receptor signaling.
  2006 J Neurochem, volume: 97, issue: 3, pages: 747 - 758
• The YK, Fernandes J, Popa MO, Alekov AK, Timmer J, Lerche H
  Modeling of single noninactivating Na+ channels: evidence for two open and several fast inactivated states.
  2006 Biophys J, volume: 90, issue: 10, pages: 3511 - 3522
• Gerke P, Benzing T, Hohne M, Kispert A, Frotscher M, Walz G, Kretz O
  Neuronal expression and interaction with the synaptic protein CASK suggest a role for Neph1 and Neph2 in synaptogenesis.
  2006 J Comp Neurol, volume: 498, issue: 4, pages: 466 - 475
• Schwarzacher SW, Vuksic M, Haas CA, Burbach GJ, Sloviter RS, Deller T
  Neuronal hyperactivity induces astrocytic expression of neurocan in the adult rat hippocampus.
  2006 Glia, volume: 53, issue: 7, pages: 704 - 714
• Bast T, Boppel T, Rupp A, Harting I, Hoechstetter K, Fauser S, Schulze-Bonhage A, Rating D, Scherg M
  Noninvasive source localization of interictal EEG spikes: effects of signal-to-noise ratio and averaging.
  2006 J Clin Neurophysiol, volume: 23, issue: 6, pages: 487 - 497
• Schelter B, Winterhalder M, Dahlhaus R, Kurths J, Timmer J
  Partial phase synchronization for multivariate synchronizing systems.
  2006 Phys Rev Lett, volume: 96, issue: 20, pages: 208103 - 208103
• Bischofberger J, Engel D, Li L, Geiger JR, Jonas P
  Patch-clamp recording from mossy fiber terminals in hippocampal slices.
  2006 Nat Protoc, volume: 1, issue: 4, pages: 2075 - 2081
• Deller T, Bas Orth C, Vlachos A, Merten T, Del Turco D, Dehn D, Mundel P, Frotscher M
  Plasticity of synaptopodin and the spine apparatus organelle in the rat fascia dentata following entorhinal cortex lesion.
  2006 J Comp Neurol, volume: 499, issue: 3, pages: 471 - 484
• Frings L, Wagner K, Quiske A, Schwarzwald R, Spreer J, Halsband U, Schulze-Bonhage A
  Precuneus is involved in allocentric spatial location encoding and recognition.
  2006 Exp Brain Res, volume: 173, issue: 4, pages: 661 - 672
• Klingmüller U, Bauer A, Bohl S, Nickel PJ, Breitkopf K, Dooley S, Zellmer S, Kern C, Merfort I, Sparna T, Donauer J, Walz G, Geyer M, Kreutz C, Hermes M, Götschel F, Hecht A, Walter D, Egger L, Neubert K, Borner C, Brulport M, Schormann W, Sauer C, Baumann F, Preiss R, MacNelly S, Godoy P, Wiercinska E, Ciuclan L, Edelmann J, Zeilinger K, Heinrich M, Zanger UM, Gebhardt R, Maiwald T, Heinrich R, Timmer J, von Weizsäcker F, Hengstler JG
  Primary mouse hepatocytes for systems biology approaches: a standardized in vitro system for modelling of signal transduction pathways.
  2006 Systems Biol, volume: 153, issue: 6, pages: 433 - 447
• Guerrero-Rivera R, Morrison A, Diesmann M, Pearce TC
  Programmable logic construction kits for hyper-real-time neuronal modeling.
  2006 Neural Comput, volume: 18, issue: 11, pages: 2651 - 2679
• Förster E, Jossin Y, Zhao S, Chai X, Frotscher M, Goffinet AM
  Recent progress in understanding the role of Reelin in radial neuronal migration, with specific emphasis on the dentate gyrus.
  2006 Eur J Neurosci, volume: 23, issue: 4, pages: 901 - 909
• Heinrich C, Nitta N, Flubacher A, Muller M, Fahrner A, Kirsch M, Freiman T, Suzuki F, Depaulis A, Frotscher M, Haas CA
  Reelin deficiency and displacement of mature neurons, but not neurogenesis, underlie the formation of granule cell dispersion in the epileptic hippocampus.
  2006 J Neurosci, volume: 26, issue: 17, pages: 4701 - 4713
• Zhao S, Chai X, Bock HH, Brunne B, Förster E, Frotscher M
  Rescue of the reeler phenotype in the dentate gyrus by wild-type coculture is mediated by lipoprotein receptors for Reelin and Disabled 1.
  2006 J Comp Neurol, volume: 495, issue: 1, pages: 1 - 9
• Lang MR, Lapierre LA, Frotscher M, Goldenring JR, Knapik EW
  Secretory COPII coat component Sec23a is essential for craniofacial chondrocyte maturation.
  2006 Nat Genet, volume: 38, issue: 10, pages: 1198 - 1203
• Schulze-Bonhage A, Kurth C, Carius A, Steinhoff BJ, Mayer T
  Seizure anticipation by patients with focal and generalized epilepsy: a multicentre assessment of premonitory symptoms.
  2006 Epilepsy Res, volume: 70, issue: 1, pages: 83 - 88
• Winterhalder M, Schelter B,, Kurths J, Schulze-Bonhage A, Timmer J
  Sensitivity and specificity of coherence and phase synchronization analysis
  2006 Phys Lett A, volume: 356, issue: 1, pages: 26 - 34
• Knöll B, Kretz O, Fiedler C, Alberti S, Schütz G, Frotscher M, Nordheim A
  Serum response factor controls neuronal circuit assembly in the hippocampus.
  2006 Nat Neurosci, volume: 9, issue: 2, pages: 195 - 204
• Vida I, Bartos M, Jonas P
  Shunting inhibition improves robustness of gamma oscillations in hippocampal interneuron networks by homogenizing firing rates.
  2006 Neuron, volume: 49, issue: 1, pages: 107 - 117
• Winterhalder M, Schelter B, Maiwald T, Brandt A, Schad A, Schulze-Bonhage A, Timmer J
  Spatio-temporal patient-individual assessment of synchronization changes for epileptic seizure prediction.
  2006 Clin Neurophysiol, volume: 117, issue: 11, pages: 2399 - 2413
• Frotscher M, Jonas P, Sloviter RS
  Synapses formed by normal and abnormal hippocampal mossy fibers.
  2006 Cell Tissue Res, volume: 326, issue: 2, pages: 361 - 367
• Rune GM, Lohse C, Prange-Kiel J, Fester L, Frotscher M
  Synaptic plasticity in the hippocampus: effects of estrogen from the gonads or hippocampus?
  2006 Neurochem Res, volume: 31, issue: 2, pages: 145 - 155
• Schelter B, Winterhalder M, Eichler M, Peifer M, Hellwig B, Guschlbauer B, Lucking CH, Dahlhaus R, Timmer J
  Testing for directed influences among neural signals using partial directed coherence.
  2006 J Neurosci Meth, volume: 152, issue: 1-2, pages: 210 - 219
• Schelter B, Winterhalder M, Maiwald T, Brandt A, Schad A, Schulze-Bonhage A, Timmer J
  Testing statistical significance of multivariate time series analysis techniques for epileptic seizure prediction.
  2006 Chaos, volume: 16, issue: 1, pages: 013108 - 013108
• Bischofberger J, Engel D, Frotscher M, Jonas P
  Timing and efficacy of transmitter release at mossy fiber synapses in the hippocampal network.
  2006 Pflug Arch Eur J Phy, volume: 453, issue: 3, pages: 361 - 372
• Kojima H, Simburger E, Boucsein C, Maruo T, Tsukada M, Okabe S, Aertsen A
  Ultraviolet laser beam and confocal microscopy – A system for rapid patterned photolysis
  2006 IEEE Circuits and Devices Magazine, volume: 22, issue: 6, pages: 66 - 74

2005

• Morrison A, Mehring C, Geisel T, Aertsen AD, Diesmann M
  Advancing the boundaries of high-connectivity network simulation with distributed computing.
  2005 Neural Comput, volume: 17, issue: 8, pages: 1776 - 1801
• Hefft S, Jonas P
  Asynchronous GABA release generates long-lasting inhibition at a hippocampal interneuron-principal neuron synapse.
  2005 Nat Neurosci, volume: 8, issue: 10, pages: 1319 - 1328
• Junghans D, Hack I, Frotscher M, Taylor V, Kemler R
  Beta-catenin-mediated cell-adhesion is vital for embryonic forebrain development.
  2005 Dev Dynam, volume: 233, issue: 2, pages: 528 - 539
• Winterhalder M, Schelter B, Hesse W, Schwab K, Leistritz L, Klan D, Bauer R, Timmer J, Witte H
  Comparison of linear signal processing techniques to infer directed interactions in multivariate neural systems
  2005 Signal Process, volume: 85, issue: 11, pages: 2137 - 2160
• Boucsein C, Nawrot M, Rotter S, Aertsen A, Heck D
  Controlling synaptic input patterns in vitro by dynamic photo stimulation.
  2005 J Neurophysiol, volume: 94, issue: 4, pages: 2948 - 2958
• Mock U, Michel T, Tropea C, Roisman I, Rühe J
  Drop impact on chemically structured arrays
  2005 J Phys-condens Mat, volume: 17, issue: 9, pages: 595 - 605
• Reinhard M, Roth M, Guschlbauer B, Harloff A, Timmer J, Czosnyka M, Hetzel A
  Dynamic cerebral autoregulation in acute ischemic stroke assessed from spontaneous blood pressure fluctuations.
  2005 Stroke, volume: 36, issue: 8, pages: 1684 - 1689
• Rickert J, Oliveira SC, Vaadia E, Aertsen A, Rotter S, Mehring C
  Encoding of movement direction in different frequency ranges of motor cortical local field potentials.
  2005 J Neurosci, volume: 25, issue: 39, pages: 8815 - 8824
• Huppertz HJ, Grimm C, Fauser S, Kassubek J, Mader I, Hochmuth A, Spreer J, Schulze-Bonhage A
  Enhanced visualization of blurred gray-white matter junctions in focal cortical dysplasia by voxel-based 3D MRI analysis.
  2005 Epilepsy Res, volume: 67, issue: 1-2, pages: 35 - 50
• The YK, Fernandez J, Popa MO, Lerche H, Timmer J
  Estimating rate constants from single ion channel currents when the initial distribution is known.
  2005 Eur Biophys J Biophy, volume: 34, issue: 4, pages: 306 - 313
• Fauser S, Talazko J, Wagner K, Ziyeh S, Jarius S, Vincent A, Schulze-Bonhage A
  FDG-PET and MRI in potassium channel antibody-associated non-paraneoplastic limbic encephalitis: correlation with clinical course and neuropsychology.
  2005 Acta Neurol Scand, volume: 111, issue: 5, pages: 338 - 343
• Steffens M, Schulze-Bonhage A, Surges R, Feuerstein TJ
  Fatty acid amidohydrolase in human neocortex-activity in epileptic and non-epileptic brain tissue and inhibition by putative endocannabinoids.
  2005 Neurosci Lett, volume: 385, issue: 1, pages: 13 - 17
• Mehring C, Nawrot M, Schulze-Bonhage A, Aertsen A, Ball T
  Human brain-machine interfacing based on epicortical field potentials: Comparison of different decoding methods
  2005 Biomedical engineering, volume: 50, pages: 436 - 537
• Schulze-Bonhage A, Fauser S, Spreer J, Pantazis G, Huppertz HJ
  Kortikale Dysplasien als Ursache fokaler Epilepsien
  2005 Aktuelle Neurologie, volume: 32, issue: 3, pages: 253 - 262
• Bas Orth C, Vlachos A, Del Turco D, Burbach GJ, Haas CA, Mundel P, Feng G, Frotscher M, Deller T
  Lamina-specific distribution of Synaptopodin, an actin-associated molecule essential for the spine apparatus, in identified principal cell dendrites of the mouse hippocampus.
  2005 J Comp Neurol, volume: 487, issue: 3, pages: 227 - 239
• Beffert U, Weeber EJ, Durudas A, Qiu S, Masiulis I, Sweatt JD, Li WP, Adelmann G, Frotscher M, Hammer RE, Herz J
  Modulation of synaptic plasticity and memory by Reelin involves differential splicing of the lipoprotein receptor Apoer2.
  2005 Neuron, volume: 47, issue: 4, pages: 567 - 579
• Alberti S, Krause SM, Kretz O, Philippar U, Lemberger T, Casanova E, Wiebel FF, Schwarz H, Frotscher M, Schutz G, Nordheim A
  Neuronal migration in the murine rostral migratory stream requires serum response factor.
  2005 P Natl Acad Sci Usa, volume: 102, issue: 17, pages: 6148 - 6153
• Peifer M, Schelter B, Guschlbauer B, Hellwig B, Lucking CH, Timmer J
  On studentising and blocklength selection for the bootstrap on time series.
  2005 Biometrical J, volume: 47, issue: 3, pages: 346 - 357
• Czarnecki K, Haas CA, Bas Orth C, Deller T, Frotscher M
  Postnatal development of synaptopodin expression in the rodent hippocampus.
  2005 J Comp Neurol, volume: 490, issue: 2, pages: 133 - 144
• Engel D, Jonas P
  Presynaptic action potential amplification by voltage-gated Na+ channels in hippocampal mossy fiber boutons.
  2005 Neuron, volume: 45, issue: 3, pages: 405 - 417
• Kovalev D, Spreer J, Honegger J, Zentner J, Schulze-Bonhage A, Huppertz HJ
  Rapid and fully automated visualization of subdural electrodes in the presurgical evaluation of epilepsy patients.
  2005 Am J Neuroradiol, volume: 26, issue: 5, pages: 1078 - 1083
• Leger JF, Stern EA, Aertsen A, Heck D
  Synaptic integration in rat frontal cortex shaped by network activity.
  2005 J Neurophysiol, volume: 93, issue: 1, pages: 281 - 293
• Kremerskothen J, Plaas C, Kindler S, Frotscher M, Barnekow A
  Synaptopodin, a molecule involved in the formation of the dendritic spine apparatus, is a dual actin/alpha-actinin binding protein.
  2005 J Neurochem, volume: 92, issue: 3, pages: 597 - 606
• Wagner K, Frings L, Quiske A, Unterrainer J, Schwarzwald R, Spreer J, Halsband U, Schulze-Bonhage A
  The reliability of fMRI activations in the medial temporal lobes in a verbal episodic memory task.
  2005 Neuroimage, volume: 28, issue: 1, pages: 122 - 131
• Mock U, Förster R, Menz W, Rühe J
  Towards ultrahydrophobic surfaces: a biomimetic approach
  2005 J Phys-condens Mat, volume: 17, issue: 9, pages: 639 - 648
• Carius A, Schulze-Bonhage A
  Trigeminal pain under vagus nerve stimulation.
  2005 Pain, volume: 118, issue: 1-2, pages: 271 - 273
• Cardoso de Oliveira S, Barthelemy S
  Visual feedback reduces bimanual coupling of movement amplitudes, but not of directions.
  2005 Exp Brain Res, volume: 162, issue: 1, pages: 78 - 88

2004

• Schulze-Bonhage A, Feil B, Zieger K
  Aspekte der perioperativen medikamentösen Therapie bei Epilepsiepatienten
  2004 Akt Neurol, volume: 31, pages: 79 - 85
• Pahnke J, Rühe J
  Attachment of Polymer Films to Aluminium Surfaces by Photochemically Active Monolayers of Phosphonic Acids
  2004 Macromol Rapid Comm, volume: 25, issue: 15, pages: 1396 - 1401
• Denker M, Timme M, Diesmann M, Wolf F, Geisel T
  Breaking synchrony by heterogeneity in complex networks.
  2004 Phys Rev Lett, volume: 92, issue: 7, pages: 074103 - 074103
• Mehring C, Nawrot MP, de Oliveira SC, Vaadia E, Schulze-Bonhage A, Aertsen A, Ball T
  Comparing information about arm movement direction in single channels of local and epicortical field potentials from monkey and human motor cortex.
  2004 J Physiol-paris, volume: 98, issue: 4-6, pages: 498 - 506
• Maiwald T, Winterhalder M, Aschenbrenner-Scheibe R, Voss H, Schulze-Bonhage A, Timmer J
  Comparison of three nonlinear seizure prediction methods by means of the seizure prediction characteristic
  2004 Physica D, volume: 194, issue: 3-4, pages: 357 - 368
• Tetzlaff T, Morrison A, Geisel T, Diesmann M
  Consequences of realistic network size on the stability of embedded synfire chains
  2004 Neurocomputing, volume: 58-60, pages: 117 - 121
• Cardoso de Oliveira S
  Control is good, prediction is better? Commentary to Franz Mechsner: A psychological approach to human voluntary movements, target article accepted
  2004 J Motor Behav, volume: 36, pages: 375 - 378
  
   
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• Rossberg AG, Bartholomé K, Timmer J
  Data-driven optimal filtering for phase and frequency of noisy oscillations: Application to vortex flow metering.
  2004 Phys Rev E, volume: 69, issue: 1 Pt 2, pages: 016216 - 016216
• Schulze-Bonhage A, Lutterbach J, Ostertag C
  Diagnostik und Therapie bei gelastischen Epilepsien
  2004 Zeitschrift für Epileptologie, volume: 17, issue: 4, pages: 279 - 286
• Lopez-Bendito G, Shigemoto R, Kulik A, Vida I, Fairen A, Lujan R
  Distribution of metabotropic GABA receptor subunits GABAB1a/b and GABAB2 in the rat hippocampus during prenatal and postnatal development.
  2004 Hippocampus, volume: 14, issue: 7, pages: 836 - 848
• Reinhard M, Roth M, Muller T, Guschlbauer B, Timmer J, Czosnyka M, Hetzel A
  Effect of carotid endarterectomy or stenting on impairment of dynamic cerebral autoregulation.
  2004 Stroke, volume: 35, issue: 6, pages: 1381 - 1387
• Schulze-Bonhage A, Quiske A, Homberg V, Trippel M, Wagner K, Frings L, Bast T, Huppertz HJ, Warnke C, Ostertag Ch
  Effect of interstitial stereotactic radiosurgery on behavior and subjective handicap of epilepsy in patients with gelastic epilepsy.
  2004 Epilepsy Behav, volume: 5, issue: 1, pages: 94 - 101
• Biesalski M, Johannsmann D, Rühe J
  Electrolyte-induced collapse of a polyelectrolyte brush.
  2004 J Chem Phys, volume: 120, issue: 18, pages: 8807 - 8814
• Schmidt-Hieber C, Jonas P, Bischofberger J
  Enhanced synaptic plasticity in newly generated granule cells of the adult hippocampus.
  2004 Nature, volume: 429, issue: 6988, pages: 184 - 187
• Oliver D, Lien CC, Soom M, Baukrowitz T, Jonas P, Fakler B
  Functional conversion between A-type and delayed rectifier K+ channels by membrane lipids.
  2004 Science, volume: 304, issue: 5668, pages: 265 - 270
• Altenmüller DM, Zehender M, Schulze-Bonhage A
  High-grade atrioventricular block triggered by spontaneous and stimulation-induced epileptic activity in the left temporal lobe.
  2004 Epilepsia, volume: 45, issue: 12, pages: 1640 - 1644
• Grunwald IC, Korte M, Adelmann G, Plueck A, Kullander K, Adams RH, Frotscher M, Bonhoeffer T, Klein R
  Hippocampal plasticity requires postsynaptic ephrinBs.
  2004 Nat Neurosci, volume: 7, issue: 1, pages: 33 - 40
• Kretz O, Fester L, Wehrenberg U, Zhou L, Brauckmann S, Zhao S, Prange-Kiel J, Naumann T, Jarry H, Frotscher M, Rune GM
  Hippocampal synapses depend on hippocampal estrogen synthesis.
  2004 J Neurosci, volume: 24, issue: 26, pages: 5913 - 5921
• Fauser S, Schulze-Bonhage A
  How large must an epileptic focus be to cause an electrographic status epilepticus--a case report.
  2004 Clin Neurophysiol, volume: 115, issue: 10, pages: 2274 - 2279
• Stefan H, Schulze-Bonhage A, Pauli E, Platsch G, Quiske A, Buchfelder M, Romstock J
  Ictal pleasant sensations: cerebral localization and lateralization.
  2004 Epilepsia, volume: 45, issue: 1, pages: 35 - 40
• Kulik A, Nakadate K, Hagiwara A, Fukazawa Y, Lujan R, Saito H, Suzuki N, Futatsugi A, Mikoshiba K, Frotscher M, Shigemoto R
  Immunocytochemical localization of the alpha 1A subunit of the P/Q-type calcium channel in the rat cerebellum.
  2004 Eur J Neurosci, volume: 19, issue: 8, pages: 2169 - 2178
• Konradi R, Rühe J
  Interaction of Poly(methacrylic acid) Brushes with Metal Ions: An Infrared Investigation
  2004 Macromolecules, volume: 37, pages: 6954 - 6961
• Jonas P, Bischofberger J, Fricker D, Miles R
  Interneuron Diversity series: Fast in, fast out-temporal and spatial signal processing in hippocampal interneurons.
  2004 Trends Neurosci, volume: 27, issue: 1, pages: 30 - 40
• Schulze-Bonhage A, Homberg V, Trippel M, Keimer R, Elger CE, Warnke PC, Ostertag C
  Interstitial radiosurgery in the treatment of gelastic epilepsy due to hypothalamic hamartomas.
  2004 Neurology, volume: 62, issue: 4, pages: 644 - 647
• Raethjen J, Lindemann M, Morsnowski A, Dümpelmann M, Wenzelburger R, Stolze H, Fietzek U, Pfister G, Elger CE, Timmer J, Deuschl G
  Is the rhythm of physiological tremor involved in cortico-cortical interactions?
  2004 Movement Disord, volume: 19, issue: 4, pages: 458 - 465
• Kampa BM, Clements J, Jonas P, Stuart GJ
  Kinetics of Mg2+ unblock of NMDA receptors: implications for spike-timing dependent synaptic plasticity.
  2004 J Physiol-london, volume: 556, issue: Pt 2, pages: 337 - 345
• Singec I, Knoth R, Ditter M, Volk B, Frotscher M
  Neurogranin is expressed by principal cells but not interneurons in the rodent and monkey neocortex and hippocampus.
  2004 J Comp Neurol, volume: 479, issue: 1, pages: 30 - 42
• Kuhn A, Aertsen A, Rotter S
  Neuronal integration of synaptic input in the fluctuation-driven regime.
  2004 J Neurosci, volume: 24, issue: 10, pages: 2345 - 2356
• Haas C
  Neuronale Migrationsstörungen und Epilepsie
  2004 Neuroforum, volume: 4, pages: 256 - 260
• Voss H, Timmer J, Kurths J
  Nonlinear dynamical system identification from uncertain and incomplete measurements
  2004 Chaos, volume: 14, issue: 6, pages: 1905 - 1933
• Bunjes N, Paul S, Habicht J, Prucker O, Rühe J, Knoll W
  On the swelling behavior of linear end-grafted polystyrene in methanol/toluene mixtures
  2004 Colloid Polym Sci, volume: 282, issue: 8, pages: 939 - 945
• Müller T, Timmer J
  Parameter identification techniques for partial differential equations
  2004 Chaos, volume: 14, issue: 6, pages: 2053 - 2060
• Rossberg AG, Bartholomé K, Voss HU, Timmer J
  Phase synchronization from noisy univariate signals.
  2004 Phys Rev Lett, volume: 93, issue: 15, pages: 154103 - 154103
• Murata H, Chang BJ, Prucker O, Dahm M, Rühe J
  Polymeric coatings for biomedical devices
  2004 Surf Sci, volume: 570, issue: 1-2, pages: 111 - 118
• Zhao S, Chai X, Förster E, Frotscher M
  Reelin is a positional signal for the lamination of dentate granule cells.
  2004 Development, volume: 131, issue: 20, pages: 5117 - 5125
• Thiel M, Romano MC, Schwarz U, Kurths J, Timmer J
  Surrogate based hypothesis test without surrogates
  2004 Chaos, volume: 14, issue: 6, pages: 2107 - 2144
• Toomey R, Freidank D, Rühe, J
  Swelling Behavior of Thin, Surface-Attached Polymer Networks
  2004 Macromolecules, volume: 37, issue: 3, pages: 882 - 887
• Biesalski M, Rühe J
  Tailoring the Change Density of Surface-Attached Polyelectrolyte Brushes
  2004 Macromolecules, volume: 37, pages: 2196 - 2202
• Fauser S, Wuwer Y, Gierschner C, Schulze-Bonhage A
  The localizing and lateralizing value of ictal/postictal coughing in patients with focal epilepsies.
  2004 Seizure-eur J Epilep, volume: 13, issue: 6, pages: 403 - 410
• Ball T, Nawrot MP, Pistohl T, Aertsen A, Schulze-Bonhage A, Mehring C
  Towards an implantable brain-machine interface based on epicortical field potentials
  2004 Biomed Tech, volume: 49, pages: 756 - 759
  
   
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• Raethjen J, Lauk M, Koster B, Fietzek U, Friege L, Timmer J, Lucking CH, Deuschl G
  Tremor analysis in two normal cohorts.
  2004 Clin Neurophysiol, volume: 115, issue: 9, pages: 2151 - 2156
• Pierkes M, Chang BJ, Alt D, Prucker O, Rühe J, Dahm M
  [Cultivation of human cells on polymer covered biomaterial-a new concept to improve the implant characteristics. Results of an in-vitro-investigation].
  2004 Herz, volume: 29, issue: 3, pages: 341 - 347
• Schulze-Bonhage A, Feil B, Fauser S, Homberg V
  [Levetiracetam in combined therapy for focal epilepsy: experience with 80 patients].
  2004 Nervenarzt, volume: 75, issue: 8, pages: 749 - 754

2003

• Nawrot MP, Aertsen A, Rotter S
  Elimination of response latency variability in neuronal spike trains.
  2003 Biol Cybern, volume: 88, issue: 5, pages: 321 - 334
• Kuhn A, Aertsen A, Rotter S
  Higher-order statistics of input ensembles and the response of simple model neurons.
  2003 Neural Comput, volume: 15, issue: 1, pages: 67 - 101
• Mehring C, Rickert J, Vaadia E, Cardosa de Oliveira S, Aertsen A, Rotter S
  Inference of hand movements from local field potentials in monkey motor cortex.
  2003 Nat Neurosci, volume: 6, issue: 12, pages: 1253 - 1254

2002

• Gutig R, Aertsen A, Rotter S
  Statistical significance of coincident spikes: count-based versus rate-based statistics.
  2002 Neural Comput, volume: 14, issue: 1, pages: 121 - 153

Reviews

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2011

• Hassler C, Boretius T, Stieglitz T
  Polymers for neural implants
  2011 J Polym Sci Pol Phys, volume: 49, issue: 1, pages: 18 - 33

2007

• Brette R, Rudolph M, Carnevale T, Hines M, Beeman D, Bower JM, Diesmann M, Morrison A, Goodman PH, Harris FC Jr, Zirpe M, Natschlager T, Pecevski D, Ermentrout B, Djurfeldt M, Lansner A, Rochel O, Vieville T, Muller E, Davison AP, El Boustani S, Destexhe A
  Simulation of networks of spiking neurons: a review of tools and strategies.
  2007 J Comput Neurosci, volume: 23, issue: 3, pages: 349 - 398

Books

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2013

• De Gruyter, page: 312
  Selbst, Welt und Technik - Eine anthropologische, geistesgeschichtliche und ethische Untersuchung
  ISBN: 978-3-11-033478-4
  Müller O

2010

• Suhrkamp, page: 215
  Zwischen Mensch und Maschine - Vom Glück und Unglück des Homo faber
  ISBN: 978-3-518-26029-6
  Müller O

Book chapters

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2019

• Grün S, Diesmann M, Aertsen A
  Unitary event analysis
  In: Encyclopedia of Computational Neuroscience
  2019, Springer, Dieter Jaeger, Ranu Jung, Dieter Jaeger, Ranu Jung, ISBN: 978-1-4614-7320-6

2013

• Spüler M, Rosenstiel W, Bogdan M
  Unsupervised Online Calibration of a c-VEP Brain-Computer Interface (BCI)
  In: Artificial Neural Networks and Machine Learning – ICANN 2013
  2013, Springer, Mladenov, V., Koprinkova-Hristova, P., Palm, G., Villa, A., Apolloni, B., Kasabov, N.K, pages: 224 - 231, Mladenov, V., Koprinkova-Hristova, P., Palm, G., Villa, A., Apolloni, B., Kasabov, N.K, ISBN: 978-3-642-40727-7

2012

• Spüler M, Rosenstiel W, Bogdan M
  Adaptive SVM-Based Classification Increases Performance of a MEG-Based Brain-Computer Interface (BCI)
  In: Artificial Neural Networks and Machine Learning – ICANN 2012
  2012, Springer, Villa AEP, Duch W, Érdi P, Masulli M, Palm G, pages: 669 - 676, Villa AEP, Duch W, Érdi P, Masulli M, Palm G, ISBN: 978-3-642-33268-5

2011

• Soekadar SR, Birbaumer N, Cohen LG
  Brain–Computer Interfaces in the Rehabilitation of Stroke and Neurotrauma
  In: Systems Neuroscience and Rehabilitation
  2011, Springer Japan, Kansaku K, Cohen L, pages: 3 - 18, Kansaku K, Cohen L, ISBN: 978-4-431-53998-8
• Eßmann B
  Der Mensch als Subjekt und Objekt von Technik
  In: Das Gehirn als Projekt. Über neurotechnologische Selbstgestaltung
  2011, Rombach, Müller O, Maio G, Boldt J, Mackert J, Müller O, Maio G, Boldt J, Mackert J,
• Müller O
  Die "Natur des Menschen" und ihre medizintechnische Verbesserung. Ethische Überlegungen.
  In: Gentechnik - Pflanzen, Tiere und das Humane
  2011, Königshausen & Neumann, Kunzmann P, Odparlik S, pages: 87 - 100, Kunzmann P, Odparlik S, ISBN: 978-3-8260-4759-6
• Direito B, Costa RP, Feldwisch H, Valderrama M, Nikolopoulos S, Schelter B, Jachan M, Teixeira CA, Aires L, Timmer J, Quyen MLV, Dourado A
  EPILAB: A MATLAB platform for multi-feature and multi-algorithm seizure prediction
  In: Epilepsy: The intersection of neurosciences, mathematics and engineering
  2011, CRC Press, Osorio I, Zaveri HP, Frei MG, Arthurs S, pages: 417 - 428, Osorio I, Zaveri HP, Frei MG, Arthurs S, ISBN: 9781439838853
• Müller O
  Gibt es unantastbare Grenzen auf dem Weg zur Selbstverbesserung? Ethische Überlegungen zum "Enhancement"
  In: Sind Sie gut genug? Zur (Selbst)-Optimierung und Vervollkommnung des Menschen
  2011, Evangelische Akad. Loccum, Müller M, Hartung G, Schaede S, pages: 49 - 61, Müller M, Hartung G, Schaede S, ISBN: 978-3817260102
• Müller V, Preißl H, Lutzenberger W, Birbaumer N
  Komplexität und nichtlineare Dynamik von EEG und MEG
  In: Neurobiologie der Psychotherapie
  2011, Schattauer, Schiepek G, pages: 193 - 210, Schiepek G, ISBN: 978-3794522392
• Schelter B, Feldwisch-Drentrup H, Schulze-Bonhage A, Timmer J
  Seizure Prediction: An Approach Using Probabilistic Forecasting
  In: Epilepsy: The intersection of neurosciences, mathematics and engineering
  2011, CRC Press, Osorio I, Zaveri HP, Frei MG, Arthurs S, Osorio I, Zaveri HP, Frei MG, Arthurs S, ISBN: 9781439838853

2010

• Aertsen A
  "Wenn beide versuchen, sich anzupassen" – Von Mensch-Maschine-Schnittstellen, Cyborgs und dem Nachbau des Gehirns
  In: Werden wir ewig leben? Gespräche über die Zukunft von Mensch und Technologie
  2010, Suhrkamp, Brinzanik R, Hülswitt T, Brinzanik R, Hülswitt T, ISBN: 978-3-518-26030-2
• Sitaram R, Lee S, Birbaumer N
  BCIs that Use Brain Metabolic Signals
  In: Brain-Computer Interfaces
  2010, Oxford University Press, Wolpaw J, Wolpaw J, ISBN: 978-0-19-538885-5
• Birbaumer N, Murguialday AR, Wildgruber M, Cohen LG
  Brain-Computer-Interface (BCI) in Paralysis
  In: The European Image of God and Man: A Contribution to the Debate on Human Rights
  2010, Brill, Günther HC, Robiglio AA, pages: 483 - 492, Günther HC, Robiglio AA, ISBN: 9789004184244
• Birbaumer N, Sauseng P
  Brain–Computer Interface in Neurorehabilitation
  In: Brain-Computer Interfaces - Revolutionizing Human-Computer Interaction
  2010, Springer, Graimann B, Pfurtscheller G, Allison B, pages: 155 - 169, Graimann B, Pfurtscheller G, Allison B, ISBN: 978-3-642-02090-2
• Aertsen A
  Foreword
  In: Analysis of Parallel Spike Trains
  2010, Springer US, Grün S, Rotter S, pages: v - viii, Grün S, Rotter S, ISBN: 978-1-4419-5674-3
• Birbaumer N, Murguialday AR, Straub A, Cohen L
  Gehirn-Computer-Schnittstellen bei Lähmungen
  In: Mensch und Maschine: Wie Brain-Computer-Interfaces und andere Innovationen gelähmten Menschen kommunizieren helfen
  2010, Mabuse-Verlag, Pantke KH, pages: 115 - 129, Pantke KH, ISBN: 9783940529596
• Eßmann B
  Kann die 'Neurowissenschaft der Ethik' einen konstitutiven Beitrag zur Neuroethik leisten? Metaethische Überlegungen zur Naturalisierung der Ethik
  In: Richtlinien, Ethikstandards und kritisches Korrektiv. Eine Topographie ethischen Nachdenkens im Kontext der Medizin
  2010, Edition S. Ruprecht, Inthorn, J, pages: 152 - 167, Inthorn, J, ISBN: 978-3767571402
• Sitaram R, Lee S, Birbaumer N
  Real-time regulation and detection of brain states from fMRI signals
  In: Neurofeedback and Neuromodulation: Techniques and Applications
  2010, Elsevier, Coben R, Evans JR, pages: 227 - 253, Coben R, Evans JR, ISBN: 978-0-12-382235-2
• Bittner U, Eßmann B, Müller O
  Vom Umgang mit Unzulänglichkeitserfahrungen. Die Enhancement-Problematik im Horizont des Weisheitsbegriffs
  In: Jahrbuch für Wissenschaft und Ethik
  2010, De Gruyter, Sturma D, Honnefelder L, Fuchs M, Sturma D, Honnefelder L, Fuchs M,

2009

• Hassler C, Stieglitz T
  Polymer-Based Approaches to Improve the Long Term Performance of Intracortical Neural Interfaces
  In: World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
  2009, Springer, Dössel O, Schlegel WC, Dössel O, Schlegel WC, ISBN: 978-3-642-03888-4

2008

• Gierschner C, Schulze-Bonhage A
  Considerations on Database Requirements for Seizure Prediction
  In: Seizure Prediction in Epilepsy: From Basic Mechanisms to Clinical Applications
  2008, Wiley-VCH Verlag GmbH & Co. KGaA, Schelter B, Timmer J, Schulze-Bonhage A, pages: 227 - 236, Schelter B, Timmer J, Schulze-Bonhage A, ISBN: 9783527407569
• Frotscher M, Haas C
  Epilepsy-associated reelin dysfunction induces granule cell dispersion in the dentate gyrus
  In: Encyclopedia of Basic Epilepsy Research
  2008, Elsevier, Schwartzkroin P, Schwartzkroin P, ISBN: 9780123736888
• Jachan M, Feldwisch genannt Drentrup H, Posdziech F, Brandt A, Altenmüller DM, Schulze-Bonhage A, Timmer J, Schelter B
  Probabilistic forecasts of epileptic seizures and evaluation by the Brier Score
  In: 4th European Conference of the International Federation for Medical and Biological Engineering
  2008, Springer, Vander Sloten J, Verdonck P, Nyssen M, Haueisen J, pages: 1701 - 1705, Vander Sloten J, Verdonck P, Nyssen M, Haueisen J, ISBN: 978-3-540-89207-6
• Feldwisch genannt Drentrup H, Michael J, Schelter B
  Seizure Prediction in Epilepsy: Does a Combination of Methods Help?
  In: Seizure Prediction in Epilepsy: From Basic Mechanisms to Clinical Applications
  2008, Wiley-VCH Verlag GmbH & Co. KGaA, Schelter B, Timmer J, Schulze-Bonhage A, pages: 227 - 236, Schelter B, Timmer J, Schulze-Bonhage A, ISBN: 9783527407569
• Jachan M, Feldwisch genannt Drentrup H, Schelter B, Timmer J
  The History of Seizure Prediction
  In: Seizure Prediction in Epilepsy: From Basic Mechanisms to Clinical Applications
  2008, Wiley-VCH Verlag GmbH & Co. KGaA, Schelter B, Timmer J, Schulze-Bonhage A, pages: 11 - 24, Schelter B, Timmer J, Schulze-Bonhage A, ISBN: 9783527407569

2007

• Gürel T, de Raedt L, Rotter S
  Mining Structure-Activity Relations in Biological Neural Networks using NeuronRank
  In: Perspectives of Neural-Symbolic Integration
  2007, Springer, Hammer B, Hitzler P, pages: 49 - 65, Hammer B, Hitzler P, ISBN: 978-3-540-73953-1

2006

• Egert U, Banach K, Meyer T
  Analysis of Cardiac Myocyte Activity Dynamics with Micro-Electrode Arrays
  In: Advances in Network Electrophysiology - Using Multi-Electrode Arrays
  2006, Springer US, Taketani M, Baudry M, pages: 274 - 290, Taketani M, Baudry M,
• Frotscher M, Seress L
  Morphological Development of the Hippocampus
  In: The Hippocampus Book
  2006, Oxford University Press, Andersen P, Morris M, Amaral D, Bliss T, O´Keefe J, pages: 115 - 132, Andersen P, Morris M, Amaral D, Bliss T, O´Keefe J, ISBN: 9780195100273
• Egert U
  Network on Chips: Spatial and temporal activity dynamics of functional networks in brain slices and cardiac tissue
  In: BioMEMS
  2006, Springer US, Urban GA, pages: 309 - 349, Urban GA, ISBN: 978-0-387-28731-7
• Fejtl M, Stett A, Nisch W, Boven K, Möller A
  On Micro-Electrode Array Revival: Its Development, Sophistication of Recording, and Stimulation
  In: Advances in Network Electrophysiology; Using Multi-Electrode Arrays
  2006, Springer US, Taketani M., Baudry M, pages: 24 - 37, Taketani M., Baudry M, ISBN: 978-0-387-25857-7
• Egert U, Okujeni S, Nisch W, Boven K, Rudorf R, Gottschlich N, Stett A
  Optimized Oxygen Availability and Signal-to-Noise Ratio in Brain Slice Recordings with Perforated Microelectrode Arrays
  In: Proceedings MEA Meeting 2006. BIOPRO edition
  2006, BIOPRO Baden-Wuerttemberg GmbH, Zengerle R, pages: 174 - 177, Zengerle R,

2004

• Donchin O, Cardoso de Oliveira S
  Electrophysiological Approaches to Bimanual Coordination in Primates
  In: Neuro-Behavioral Determinants of Interlimb Coordination: A multidisciplinary approach
  2004, Springer US, Swinnen S, Duysens J, pages: 131 - 153, Swinnen S, Duysens J, ISBN: 978-1-4613-4777-4
• Haas C, Frotscher M
  Migration disorders and epilepsy
  In: Brain Damage and Repair: From Molecular Research to Clinical Therapy
  2004, Springer Netherlands, Herdegen T, Delgado-Garcia J, pages: 391 - 402, Herdegen T, Delgado-Garcia J, ISBN: 978-1-4020-1892-3
• Vaadia E, Cardoso de Oliveira S
  Motor Cortex in Voluntary Movements
  In: Motor Cortex in Voluntary Movements: A Distributed System for Distributed Functions
  2004, CRC Press, Riehle A, Vaadia W, pages: 109 - 140, Riehle A, Vaadia W, ISBN: 978-0-8493-1287-8

Talks

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2009

• Birbaumer N
  Neurobiologie der Willensfreiheit: Die Freiheiten des Gehirns
  2009 Die 3. Carinthischen Dialoge 2009 auf Schloss Bach
  
   
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Conference papers

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2012

• Spüler M, Rosenstiel W, Bogdan M
  Co-adaptivity in Unsupervised Adaptive Brain-Computer Interfacing: a Simulation Approach
  2012 COGNITIVE 2012 : The Fourth International Conference on Advanced Cognitive Technologies and Applications IARIA, volume: 1, pages: 115 - 121
  
   
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2011

• Somerlik K, Cosandier-Rimélé D, Cordeiro J, Krüger T, Mattmüller R, Stieglitz T, Aertsen A, Schulze-Bonhage A
  Measuring epileptogenicity in kainic acid injected rats
  2011 Cancun Neural Engineering (NER), 2011 5th International IEEE/EMBS Conference on, volume: 1, pages: 188 - 191
• Walter C, Cierniak G, Gerjets P, Rosenstiel W, Bogdan M
  Classifying mental states with machine learning algorithms using alpha activity decline
  2011 Proceedings of 19th European Symposium on Artificial Neural Networks (ESANN 2011), volume: 1, pages: 405 - 410
  
   
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2007

• Gürel T, Egert U, Kandler S, De Raedt L, Rotter S
  Predicting Spike Activity in Neuronal Cultures
  2007 Orlando, FL Neural Networks, 2007. IJCNN 2007. International Joint Conference on, IEEE, volume: 1, pages: 2942 - 2947