Complex
nonlinear neural dynamics
CNS 2002 workshop, July 25Organizers: Peter Andras (U Newcastle, UK), Robert Kozma (U Memphis, TN), Amir Assadi (U Wisconsin, WS), David DeMaris (IBM Microelectronics, Austin, TX) |
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Speakers:
Prof. Thomas P. Sutula, University of Wisconsin
Prof. Steven J. Schiff, Krasnow Institute, George Mason University
Dr. Matthew V. Jones, University of Wisconsin
Dr. Thomas Ferree, University of California, San Francisco
Speakers:
Prof. Walter J. Freeman, University of California, Berkeley
Dr. Leslie M. Kay, University of Chicago
Dr. Robert Kozma, University of Memphis
Dr. Giampaolo D’Alessandro, University of Southampton
Speakers:
Prof. Paul Bressloff, University of Utah
Dr. David DeMaris, IBM Microelectronics
Dr. Peter Andras, University of Newcastle
Prof. William B. Levy, University of Virginia
Prof. Amir Assadi, University of Wisconsin
2001 Complex nonlinear neural dynamics workshop
Studying nonlinear, dynamical aspects of information processing and
memory in biological and computational neural systems has attracted a lot of
attention in recent years. This session aims at giving a forum to researchers
interested in this field introducing their results and discussing new
developments in this area. The major questions addressed at this session will
be:
What evidence do we have that indicates that neurons, neural circuits
or brain components have functionally meaningful complex nonlinear dynamic or
chaotic activity? How should we interpret these experimental results?
What is the role of noise in the operation of biological systems? How
does noise contribute to the stability of complex nonlinear systems in biology
and in computational models?
What are the most promising approaches to the analysis of complex
nonlinear dynamics in neural network models ? What spatio-temporal features
indicate complex behavior? What new insights are provided by the analysis of
lattices of coupled nonlinear maps ? Is symbolic dynamics the right conceptual
framework to describe the dynamical macro-behavior of neural systems ?
How does the chaotic dynamics analysed in the context of some neural
network models correspond to the complex spatio-temporal dynamical effects
observed in biological brains ? What are the established links between the two
kinds of complex neural dynamics and what are the gaps that are waiting to be
bridged ? Is it essential to have complex nonlinear dynamics in the neural
system to perform computation or would it be more advantageous to do it without
any chaos ? Is it possible that chaos is just a side effect from the point of
view of neural computation ?
The workshop will consist
of a few invited talks, a selection of short talks and discussion panels. We
invite participants of the CNS 2002 to submit proposals for short talks at the
workshop. The proposals should be in the form of a one page abstract,
summarizing the content of the talk and indicating which of the above listed
questions are going to be addressed by the talk. Please indicate also if the
proposed talk is different from your paper(s) submitted to the CNS 2002. The
selected proposals will be allocated a 10 minutes presentation time. All other
proposals will be considered for presentation as posters. Abstracts should be
submitted by e-mail to the address: peter.andras@ncl.ac.uk.
Deadline for abstracts: July 3, 2002. E-mail notification about acceptance for
oral presentation will be sent out by July 12, 2002.
The organizers intend to
publish a volume of the papers related to the talks given at the workshop.
Have a look at the
summary of the 2001
Complex nonlinear neural dynamics workshop.