Seminar · Computational Neuroscience
Cortical-like dynamics in recurrent circuits optimized for sampling-based probabilistic inference
Máté Lengyel · University of Cambridge
Mon, Jun 8, 2020 · 13:00 UTC
Sensory cortices display a suite of ubiquitous dynamical features, such as ongoing noise variability, transient overshoots, and oscillations, that have so far escaped a common, principled theoretical account. We developed a unifying model for these phenomena by training a recurrent excitatory-inhibitory neural circuit model of a visual cortical hypercolumn to perform sampling-based probabilistic inference. The optimized network displayed several key biological properties, including divisive normalization, as well as stimulus-modulated noise variability, inhibition-dominated transients at stimu