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.
Original language | English (US) |
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Article number | 178103 |
Journal | Physical review letters |
Volume | 123 |
Issue number | 17 |
DOIs | |
State | Published - Oct 23 2019 |
All Science Journal Classification (ASJC) codes
- General Physics and Astronomy