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Abigail Morrison

Faculty

    morrison.jpgProf. Dr. Abigail Morrison
    Bernstein Center Freiburg
    Hansastr. 9a
    79104 Freiburg i.Br.
    Tel.: +49 (0)761 203 9530
    Fax: +49 (0)761 203 9559

 


Principal Investigator in

  •   Functional Neural Circuits
  •  “Human Brain Model” within the Helmholtz Initiative on Systems Biology
  •   EuroSPIN

 

Research Interests

  • Interaction of structure, dynamics and plasticity to realise cortical functions
  • Development of functional structures
  • Learning and memory
  • Simulator technology and high-performance computing

 

Other Scientific Activities

  • Coordinator and key developer of the NEST initiative (www.nest-initiative.org), a collaborative project on the development of technology for the simulation of neural systems.
  • Co-organizer of the CodeJam meetings 2009-2011
  • Associate editor for PLoS Computational Biology and review editor for Frontiers in Neuroinformatics
  • Member of the INCF Task Force on Standards Establishment for Large-scale Modeling
  • Reviewer for GIF, NWO, ANR and external reviewer for Postdoc search committee of the Norwegian University of Life Sciences
  • Member of NWG, JNS and IBRO

 

CV

Academic Background

  •  01/11/09     Appointed Junior Professor for Computational Neuroscience at the Faculty of Biology, Albert-Ludwigs-University, Freiburg, Germany
  • 11/2008 - present     Part time studies towards Postgraduate diploma in Management of Software Projects, Open University, U.K.
  • 01/01/06       PhD in Biology (Freiburg, Germany), Thesis: Spike-timing dependent plasticity in balanced random networks (Reviewers: A. Aertsen, S. Rotter, Albert-Ludwigs-University, Freiburg, Germany)
  • 1/2004 - 1/2006    PhD studies, Dept. Neurobiology & Biophysics and Bernstein Center for Computational Neuroscience (M. Diesmann, A. Aertsen), Albert-Ludwigs-University, Freiburg, Germany
  • 12/2001 - 12/2003   PhD studies, Dept. Nonlinear Dynamics (M.Diesmann, T.Geisel), Max-Planck-Institute for Dynamics and Self-Organization, Goettingen, Germany
  • 9/2001    MSc in Artificial Intelligence (Edinburgh, UK) Thesis: How the Basal Ganglia learn to select actions (Supervisor: D. Willshaw)
  • 10/2000 - 9/2001    Studies in Artificial Intelligence, University of Edinburgh, United Kingdom
  • 9/1997 - 6/2000      Studies in Physics and Computer Science, Georg-August-University, Goettingen, Germany
  • 9/1995 - 6/1997      Studies in Physics and Philosophy, King's College London, United Kingdom

 

Research Positions

  • 11/2009 - present    Junior Professor for Computational neuroscience and leader of the group 'Functional        
                                        Neural Circuits'. Faculty of Biology, Albert-Ludwigs-University, Freiburg, Germany
  • 12/2009 - 02/2011   Visiting Scientist, Computational Neuroscience Group, RIKEN Brain Science Institute,

                                         Wako, Saitama, Japan

  • 01/2007 - 10/2009   Research Scientist, Computational Neuroscience Group, RIKEN Brain Science Institute,
                                        Wako, Saitama, Japan
  • 01/2006 - 12/2006  Postdoc, Bernstein Center for Computational Neuroscience, Albert-Ludwigs-University,
                                       Freiburg, Germany
  • 01/2004 - 01/2006   Research Assistant, Dept. Neurobiology & Biophysics and Bernstein Center for
                                        Computational Neuroscience, Albert-Ludwigs-Universität, Freiburg, Germany
  • 12/2001 - 12/2003   Research Assistant, Dept.  Nonlinear Dynamics, Max-Planck-Institute for Dynamics
                                        and Self-Organization,

 

Research Interests

  • Coordinator and key developer of the NEST initiative (www.nest-initiative.org), a collaborative project on the development of technology for the simulation of neural systems.
  • Organiser of the FACETS CodeJam meetings (2009/2010)
  • Associate editor for PLoS Computational Biology and ad-hoc reviewer for Neural Computation, Journal of Computational Neuroscience, Biological Cybernetics, Frontiers, CNS*07-10
  • Member of the INCF Task Force on Standards Establishment for Large-scale Modeling
  • Reviewer for DIP and external reviewer for Postdoc search committee of the Norwegian University of Life Sciences
  • Member of NWG, JNS and IBRO
     

 

Publications

Articles

  • Potjans, W, Diesmann, M, and Morrison, A (2011). An imperfect dopaminergic error signal can drive temporal-difference learning. PLoS Comput. Biol. (in press).
  • Hanuschkin, A, Diesmann, M, and Morrison, A (2011). A reafferent and feed-forward model of song syntax generation in the Bengalese finch. J. Comput. Neurosci. online first, doi: 10.1007/s10827-011-0318-z
  • Kunkel, S, Diesmann, M, and Morrison, A (2011). Limits to the development of feed-forward structures in large recurrent neuronal networks. Front. Comput. Neurosci. 4:160. doi: 10.3389/fncom.2010.00160.
  • Schrader, S, Diesmann, M, and Morrison, A (2011). A compositionality machine realized by a hierarchic architecture of synfire chains. Front. Comput. Neurosci. 4(154), doi: 10.3389/fn- com.2010.00154.
  • Hanuschkin, A, Herrmann, JM, Morrison, A, and Diesmann, M (2010). Compositionality of arm movements can be realized by propagating synchrony. J. Comput. Neurosci., online first, doi: 10.1007/s10827–010–0285–9.
  • Potjans, W, Morrison, A, and Diesmann, M (2010). Enabling functional neural circuit simulations with distributed computing of neuromodulated plasticity. Front. Comput. Neurosci. 4(141), doi: 10.3389/fncom.2010.00141.
  • Hanuschkin, A., Kunkel, S., Helias, M., Morrison, A., & Diesmann, M. (2010). A general and efficient method for incorporating exact spike times in globally time-driven simulations. Front. Neuroinform. 4:113.
    doi:10.3389/fninf.2010.00113. PDF
  • Berger, D., Borgelt, C., Louis, S., Morrison, A., & Grün, S. (2010). Efficient identification of assembly neurons within massively parallel spike trains. Comput. Intell. and Neurosci. 2010, Article ID 439648.
  • Potjans, W., Morrison, A., & Diesmann, M. (2009). A spiking neural network model of an actor-critic learning agent. Neural Comput. 21(2), 301—339.
  • Morrison, A., Diesmann, M., & Gerstner, W. (2008). Phenomenological models of synaptic plasticity based on spike-timing. Biol. Cybern. 98(6), 459—478.
  • Plesser, H. E., Eppler, J. M., Morrison, A., Diesmann, M., & Gewaltig, M.-O. (2007). Efficient parallel simulation of large-scale neuronal networks on clusters of multiprocessor computers. In A.-M. Kermarrec, L. Bougé, & T. Priol (Eds.), Euro-Par 2007: Parallel Processing, Volume 4641 of Lecture Notes in Computer Science, Berlin, pp. 672—681. Springer-Verlag.
  • Brette, R., Rudolph, M., Carnevale, T., Hines, M., Beeman, D., Bower, J. M., Diesmann, M., Morrison, A., Goodman, P. H., Harris Jr., F. C., Zirpe, M., Natschläger, T., Pecevski, D., Ermentrout, B., Djurfeldt, M., Lansner, A., Rochel, O., Vieville, T., Muller, E., Davison, A. P., El Boustani, S., & Destexhe, A. (2007). Simulation of networks of spiking neurons: A review of tools and strategies. J. Comput. Neurosci. 23(3), 349—398.
  • Morrison, A., Aertsen, A., & Diesmann, M. (2007). Spike-timing dependent plasticity in balanced random networks. Neural Comput. 19, 1437—1467.
  • Morrison, A., Straube, S., Plesser, H. E., & Diesmann, M. (2007). Exact subthreshold integration with continuous spike times in discrete time neural network simulations. Neural Comput. 19(1), 47—79.
  • Guerrero-Rivera, R., Morrison, A., Diesmann, M., & Pearce, T. C. (2006). Programmable logic construction kits for hyper real-time neuronal modeling. Neural Comput. 18, 2651—2679.
  • Morrison, A., Mehring, C., Geisel, T., Aertsen, A., & Diesmann, M. (2005). Advancing the boundaries of high connectivity network simulation with distributed computing. Neural Comput. 17(8), 1776—1801.
  • Tetzlaff, T., Morrison, A., Geisel, T., & Diesmann, M. (2004). Consequences of realistic network size on the stability of embedded synfire chains. Neurocomputing 58--60, 117—121.

 

Book Chapters and Reports

  • Gewaltig, M-O, Diesmann, M, Morrison, A, and Plesser, H. (2011). The Computer Science of Neural Systems Simulation. Springer. (in preparation).
  • Gewaltig, M-O, Morrison, A, and Plesser, HE.(2011). Computational Systems Neurobiology, Chapter : The neural simulator tool NEST. Springer. (in press).
  • Denker, M, Wiebelt, B, Fliegner, D, Diesmann, M, and Morrison, A (2010). Analysis of Parallel Spike Trains, Chapter 20; Practically trivial parallel data processing in a neuroscience laboratory, pp. 413–436.
  • Morrison, A., & Diesmann, M. (2008). Lectures in Supercomputational Neuroscience: Dynamics in Complex Brain Networks, Chapter 10; Maintaining causality in discrete time neuronal network simulations, pp. 267—278. Understanding Complex Systems. Springer.
  • Morrison, A. (2001). How the Basal Ganglia learn to select actions. Master's thesis, School of Artificial Intelligence, University of Edinburgh.
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