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dc.contributor.authorYim, Man Yi
dc.contributor.authorSadun, Lorenzo A
dc.contributor.authorFiete, Ila R
dc.contributor.authorTaillefumier, Thibaud
dc.date.accessioned2021-11-23T18:29:35Z
dc.date.available2021-11-23T18:29:35Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/138218
dc.description.abstract<jats:p>What factors constrain the arrangement of the multiple fields of a place cell? By modeling place cells as perceptrons that act on multiscale periodic grid-cell inputs, we analytically enumerate a place cell’s <jats:italic>repertoire</jats:italic> – how many field arrangements it can realize without external cues while its grid inputs are unique – and derive its <jats:italic>capacity</jats:italic> – the spatial range over which it can achieve any field arrangement. We show that the repertoire is very large and relatively noise-robust. However, the repertoire is a vanishing fraction of all arrangements, while capacity scales only as the sum of the grid periods so field arrangements are constrained over larger distances. Thus, grid-driven place field arrangements define a large response scaffold that is strongly constrained by its structured inputs. Finally, we show that altering grid-place weights to generate an arbitrary new place field strongly affects existing arrangements, which could explain the volatility of the place code.</jats:p>en_US
dc.language.isoen
dc.publishereLife Sciences Publications, Ltden_US
dc.relation.isversionof10.7554/ELIFE.62702en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceeLifeen_US
dc.titlePlace-cell capacity and volatility with grid-like inputsen_US
dc.typeArticleen_US
dc.identifier.citationYim, Man Yi, Sadun, Lorenzo A, Fiete, Ila R and Taillefumier, Thibaud. 2021. "Place-cell capacity and volatility with grid-like inputs." eLife, 10.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciences
dc.contributor.departmentMcGovern Institute for Brain Research at MIT
dc.relation.journaleLifeen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-11-23T18:26:03Z
dspace.orderedauthorsYim, MY; Sadun, LA; Fiete, IR; Taillefumier, Ten_US
dspace.date.submission2021-11-23T18:26:06Z
mit.journal.volume10en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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