| Literature DB >> 31702278 |
Leenoy Meshulam1,2,3, Jeffrey L Gauthier1, Carlos D Brody1,4,5, David W Tank1,2,4, William Bialek2,3,6.
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.Entities:
Mesh:
Year: 2019 PMID: 31702278 PMCID: PMC7335427 DOI: 10.1103/PhysRevLett.123.178103
Source DB: PubMed Journal: Phys Rev Lett ISSN: 0031-9007 Impact factor: 9.161