Redwood Neuroscience
Title "An information-theoretic min
cut approach to population coding.”
Department
of Electrical Engineering and Computer Sciences
Abstract:
In this talk, we first present a review/overview of
some of the key results in network information theory and discuss how some of
these results could be relevant to the understanding of population codes. To
simplify the problem, we advocate a cut-set approach in which we partition the
entire network into a few blocks and study the information transfer between
these blocks.
In the
second part of the talk, we discuss sensor networks, currently one of the most
active research topics in engineering. The standard concepts of information
theory seem insufficient to answer the fundamental coding and performance
questions. We briefly outline some of the recent results, and again outline how
these may be important in the analysis of population codes.