Untitled - Laboratory of Neurophysics and Physiology

network model in realtime
W4
Methods of information theory in computational neuroscience
Space Curie, Wed & Thu, 9:00-17:30
Alexander G. Dimitrov, Washington State University, Vancouver, WA, USA
Michael Gastpar, EPFL, Lausanne, Switzerland
Conor Houghton, University of Bristol, Bristol, UK
Aurel A. Lazar, Columbia University, New York, NY, USA
Tatyana Sharpee, The Salk Institute, La Jolla, CA, USA
Simon R Schultz, Imperial College, London, UK
Methods originally developed in Information Theory have found wide applicability in computational
neuroscience. Beyond these original methods there is a need to develop novel tools and approaches
that are driven by problems arising in neuroscience. A number of researchers in computational/systems
neuroscience and in information/communication theory are investigating problems of information representation
and processing. While the goals are often the same, these researchers bring different
perspectives and points of view to a common set of neuroscience problems. Often they participate
in different fora and their interaction is limited. The goal of the workshop is to bring some of these
researchers together to discuss challenges posed by neuroscience and to exchange ideas and present
their latest work. The workshop is targeted towards computational and systems neuroscientists with
interest in methods of information theory as well as information/communication theorists with interest
in neuroscience.
Invited Speakers:
Dmitri B. Chklovskii, HHMI Janelia Farm, Ashburn, VA.
Pier Luigi Dragotti, Imperial College.
J. Leo van Hammen, Technical University of Munich
Lubomir Kostal, Academy of Sciences of the Czech Republic.
Simon Laughlin, Department of Zoology, University of Cambridge.
Aurel A. Lazar, Department of Electrical Engineering, Columbia University.
Jean-Pierre Nadal, Laboratoire de Physique Statistique, CNRS UMR8550, École Normale Supérieure,
Paris.
Alex Pouget, University of Geneva.
Mark van Rossum, University of Edinburgh.
Simon R. Schultz, Department of Bioengineering, Imperial College.
Tatyana O. Sharpee, The Computational Neurobiology Laboratory, Salk Institute.
Lawrence C. Sincich, University of Alabama.
Naftali Tishby, Hebrew University.
Taro Toyoizumi, Riken Brain Sciences Institute.
References
Shannon, A mathematical theory of communication, Bell System Technical Journal, vol. 27, pp. 379-
423 and 623-656, 1948.
D.H. Johnson. Dialogue Concerning Neural Coding and Information Theory. August 2003.
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