Successes and failures of simple statistical physics models for a network of real neurons

2021/12/29 by Meshulam, Leenoy, Gauthier, Jeffrey L., Brody, Carlos D. +2
#Biological Physics (physics.bio-ph) #FOS: Biological sciences #FOS: Physical sciences #Neurons and Cognition (q-bio.NC)

paper · doi:10.48550/arxiv.2112.14735

Abstract

Biological networks exhibit complex, coordinated patterns of activity. Can these patterns be captured precisely in simple models? Here we use measurements of simultaneous activity in 1000+ neurons in the mouse brain to test the validity of models grounded in statistical physics. When cells are dense samples from a small region, we find extremely detailed quantitative agreement between theory and experiment; sparse samples from larger regions lead to model failures. These results show we can aspire to more than qualitative agreement between simplifying theoretical ideas and the detailed behavior of a complex biological system.

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