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Coarse Graining, Fixed Points, and Scaling in a Large Population of Neurons.

Author(s): Meshulam, Leenoy; Gauthier, Jeffrey L; Brody, Carlos D; Tank, David W; Bialek, William

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dc.contributor.authorMeshulam, Leenoy-
dc.contributor.authorGauthier, Jeffrey L-
dc.contributor.authorBrody, Carlos D-
dc.contributor.authorTank, David W-
dc.contributor.authorBialek, William-
dc.date.accessioned2022-01-25T14:58:18Z-
dc.date.available2022-01-25T14:58:18Z-
dc.date.issued2019-10-23en_US
dc.identifier.citationMeshulam, Leenoy, Gauthier, Jeffrey L, Brody, Carlos D, Tank, David W, Bialek, William. (2019). Coarse Graining, Fixed Points, and Scaling in a Large Population of Neurons.. Physical review letters, 123 (17), 178103 - 178103. doi:10.1103/physrevlett.123.178103en_US
dc.identifier.issn0031-9007-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr1sf2mb5w-
dc.description.abstractWe 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.en_US
dc.format.extent178103 - 178103en_US
dc.languageengen_US
dc.language.isoen_USen_US
dc.relation.ispartofPhysical review lettersen_US
dc.rightsFinal published version. Article is made available in OAR by the publisher's permission or policy.en_US
dc.titleCoarse Graining, Fixed Points, and Scaling in a Large Population of Neurons.en_US
dc.typeJournal Articleen_US
dc.identifier.doidoi:10.1103/physrevlett.123.178103-
dc.identifier.eissn1079-7114-
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/journal-articleen_US

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