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Dimensionality and dynamics in networks of neurons

Dimensionality and dynamics in networks of neurons, 28 Jan 2022 Center for the Physics of Biological Function symposium The past decade has been a transformative period for neuroscience. Rapid progress in technology has allowed us to probe neural circuits at unprecedented scale and precision. Modern neural datasets routinely contain recordings from hundreds to thousands of neurons from animal brains engaged in complex behaviors. This rapid progress makes it an ideal time to revisit some salient questions on neural coding and dynamics: How are sensory and cognitive variables represented in the collective activity of neurons? Is neural activity inherently irregular and high-dimensional, or is there some simpler underlying description? In this symposium, we hear about recent conceptual, theoretical and statistical approaches to tackle these questions. The format allows our speakers to start with the foundations of their subject and still get to the frontier, with plenty of time for discussion. Welcome and introduction, Bill Bialek 1:25 Graph rules for nonlinear inhibitory network dynamics Carina Curto, Pennsylvania State University 1:37:42 Low dimensional manifolds for neural dynamics Sara A. Solla, Northwestern University 3:01:28 Tracking cognitive and behavioral states through neural population analysis Alex Williams, New York University and Flatiron Institute