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Successes and failures of simple statistical physics models for a network of real neurons
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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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Maximum entropy models of neuronal populations at and off criticality
Static maximum-entropy thermodynamics cannot distinguish avalanche-critical from supercritical neuronal cultures, though it can separate subcritical from critical/supercritical activity.
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