Speaker:
Eric Shea-Brown
Date of Talk:
12/03/10
Affiliation:
Department of Applied Mathematics, University of Washington
Title:
Cooperative Dynamics in Simple Neural Circuits
Abstract
The brain’s highly nonlinear, stochastic, and interconnected networks contain numerous mechanisms that could lead to synchronized -- or correlated -- dynamics among cells. Moreover, information-theoretic calculations tell us that precisely what pattern of correlations emerges can have major impact on the fidelity with which a network encodes incoming signals. We’ll explore simplified circuit models in which the link between single-cell dynamics, coupling architecture, and correlation can be understood, and discuss the consequences for neural coding.
