Abstract
We develop a phenomenological coarse-graining procedure for activity in a large network of neurons, and apply this to recordings from a population of 1000+ cells in the hippocampus. Distributions of coarse-grained variables seem to approach a fixed non-Gaussian form, and we see evidence of scaling in both static and dynamic quantities. These results suggest that the collective behavior of the network is described by a nontrivial fixed point.
- Received 11 October 2018
- Revised 1 August 2019
DOI:https://doi.org/10.1103/PhysRevLett.123.178103
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