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NJIT Mathematical Biology Seminar

Tuesday, September 14, 2010, 2:30pm
Cullimore Hall 611
New Jersey Institute of Technology

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Modeling cooperative activity in neural systems

Andrea Barreiro

Department of Mathematics, University of Washington

Collective activity is widespread in the nervous system and has important implications for functionality. When can we represent such activity by lower dimensional models, and how does our ability to do so depend on basic circuit properties such as input statistics, internal dynamics and network connectivity? We take some first steps toward answering this question by studying the ability of maximum entropy models to characterize the spiking activity of networks modeled on retinal circuitry.