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) |
|---|---|
| Article number | 178103 |
| Journal | Physical review letters |
| Volume | 123 |
| Issue number | 17 |
| DOIs | |
| State | Published - Oct 23 2019 |
All Science Journal Classification (ASJC) codes
- Physics and Astronomy(all)
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Meshulam, L., Gauthier, J. L., Brody, C. D., Tank, D. W., & Bialek, W. (2019). Coarse graining, fixed points, and scaling in a large population of neurons. Physical review letters, 123(17), [178103]. https://doi.org/10.1103/PhysRevLett.123.178103