dc.contributor.author | Yim, Man Yi | |
dc.contributor.author | Sadun, Lorenzo A | |
dc.contributor.author | Fiete, Ila R | |
dc.contributor.author | Taillefumier, Thibaud | |
dc.date.accessioned | 2021-11-23T18:29:35Z | |
dc.date.available | 2021-11-23T18:29:35Z | |
dc.date.issued | 2021 | |
dc.identifier.uri | https://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.iso | en | |
dc.publisher | eLife Sciences Publications, Ltd | en_US |
dc.relation.isversionof | 10.7554/ELIFE.62702 | en_US |
dc.rights | Creative Commons Attribution 4.0 International license | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
dc.source | eLife | en_US |
dc.title | Place-cell capacity and volatility with grid-like inputs | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Yim, 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.department | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences | |
dc.contributor.department | McGovern Institute for Brain Research at MIT | |
dc.relation.journal | eLife | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dc.date.updated | 2021-11-23T18:26:03Z | |
dspace.orderedauthors | Yim, MY; Sadun, LA; Fiete, IR; Taillefumier, T | en_US |
dspace.date.submission | 2021-11-23T18:26:06Z | |
mit.journal.volume | 10 | en_US |
mit.license | PUBLISHER_CC | |
mit.metadata.status | Authority Work and Publication Information Needed | en_US |