Date: Thu, May 18, 16:30-
Venue: Room An301, An Block, IIS, The University of Tokyo
Invited Speaker: Dr. Ladislav Andrey (Academy of Sciences of the Czech Republic)

Title: Chaotic Dynamics in Simple Neuronal System

Abstract:
The ubiquitous feature of the nervous system of wide spread occurrence
of complex dynamics behaviour is treated. The cardinal question
concerning the nature of generators of such complex behaviour, namely
if it is ad hoc random or deterministic but strongly nonlinear, is
analyzed. It is proved analytically that the discrete dynamics of
single neurons with the sigmoidal transfer function is potentially
chaotic. As the by-product the functional gain-threshold mechanism in
neurons is derived. This allows for the new interpretations of famous
experiments by Miyashita on squirell monkeys. Then it is shown that
the continuous dynamics of the neural circuits of two-three neurons
are endowed with the potentiality of chaotic firing, too. Finally, it
will be argued that the classical dogma of stochastic or the ad hoc
random neural coding can be taken as the limiting case of presenting
new approach of deterministic or chaotic paradigm.

Key Words: Chaotic dynamics, single neurons, neuronal circuits,
gainthreshold mechanism, neural coding applications