Title: A coarse-grained model of the primary visual cortex
Speaker: Kevin K. Lin, University of Arizona
Abstract: Biologically realistic models of cortical circuits are challenging to build and simulate due to the large numbers of neurons, their complex connectivity and interactions, and the many unknown parameters. Reduced, or coarse-grained, models are more tractable, but when carried too far reduced models may become hard to interpret. This talk concerns a coarse-graining strategy inspired by ideas from nonequilibrium statistical mechanics that aims to balance biological realism and computational efficiency. I will show
that our strategy, when applied to the primate primary visual cortex, can faithfully reproduce the response of cortical circuits to external stimuli.
Zoom: TBA
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