PhD and Postdoc Seminar
You have a new invitation for the PhD Seminar on 2 July 2019!

July 2, 2019

Featured images

Bernstein Center Freiburg

Tuesday, 2 July 2019


17:15 h


vCal iCal


Lecture Hall (ground floor)
Bernstein Center Freiburg
Hansastraße 9a
79104 Freiburg


Hosted by Han Lu

Associative properties of structural plasticity based on firing rate homeostasis in recurrent neuronal networks

The interaction between Hebbian and homeostatic plasticity in neuronal networks has recently received a lot of attention. Hebbian synaptic plasticity like STDP, known for its associative properties, tends to lead to instabilities in recurrent networks, and different homeostatic mechanisms have been proposed to stabilize the learning process. While slow homeostatic plasticity has been observed in experiments, a mechanism fast enough to compensate instabilities on short time scales remains to be found [1]. The goal of this work is to contribute another aspect to the understanding of this interaction and show that associative properties can also emerge from a rule solely based on homeostatic principles, and that is not explicitly dependent on correlations between the activity of pairs of neurons. By simulating neural networks of spiking neurons and a computational model of structural plasticity based on homeostasis of firing rate [3,4], we have shown that cell assemblies of strongly connected neurons can be formed upon neuronal stimulation [2]. Moreover, we could demonstrate that this effect is larger for repetitive stimulation [5] and it is long-lasting, i.e. the emerging structure decays only slowly when the specific external stimulation is turned off. While the existence of an assembly has only a small effect on the spontaneous activity of the network it is part of, the evoked activity is larger upon stimulation of the cell assembly, allowing for a simple readout of the memory.

[1] Zenke F, Gerstner W, Ganguli S. The temporal paradox of Hebbian learning and homeostatic plasticity. Current Opinion in Neurobiology 43: 166-176, 2017
[2] Gallinaro JV, Rotter S. Associative properties of structural plasticity based on firing rate homeostasis in recurrent neuronal networks. Scientific Reports: 8: 3754, 2018
[3] Butz M, van Ooyen A. A simple rule for dendritic spine and axonal bouton formation can account for cortical reorganization after focal retinal lesions. PLOS Computational Biology 9: e1003259, 2013
[4] Diaz-Pier S, Naveau M, Butz-Ostendorf M, Morrison A. Automatic generation of connectivity for large-scale neuronal network models through structural plasticity. Frontiers in Neuroanatomy 10: 57, 2016
[5] Lu H, Gallinaro JV, Rotter S. Network remodeling induced by transcranial brain stimulation: A computational model of tDCS-triggered cell assembly formation. Network Neuroscience, accepted, 2019


All BCF members are cordially invited!



Hansastraße 9a
79104 Freiburg im Breisgau