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A Map-like Micro-Organization of Grid Cells in the Medial Entorhinal Cortex

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dc.contributor.authorGu, Yi-
dc.contributor.authorLewallen, Sam-
dc.contributor.authorKinkhabwala, Anima A-
dc.contributor.authorDominisoru, Cristina-
dc.contributor.authorYoon, Ki jung-
dc.contributor.authorGauthier, Jeffrey L-
dc.contributor.authorFiete, Ila R-
dc.contributor.authorTank, David W-
dc.date.accessioned2021-08-02T12:54:23Z-
dc.date.available2021-08-02T12:54:23Z-
dc.date.created2021-05-14-
dc.date.issued2018-09-
dc.identifier.issn0092-8674-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/16066-
dc.description.abstractHow the topography of neural circuits relates to their function remains unclear. Although topographic maps exist for sensory and motor variables, they are rarely observed for cognitive variables. Using calcium imaging during virtual navigation, we investigated the relationship between the anatomical organization and functional properties of grid cells, which represent a cognitive code for location during navigation. We found a substantial degree of grid cell micro-organization in mouse medial entorhinal cortex: grid cells and modules all clustered anatomically. Within a module, the layout of grid cells was a noisy two-dimensional lattice in which the anatomical distribution of grid cells largely matched their spatial tuning phases. This micro-arrangement of phases demonstrates the existence of a topographical map encoding a cognitive variable in rodents. It contributes to a foundation for evaluating circuit models of the grid cell network and is consistent with continuous attractor models as the mechanism of grid formation.-
dc.language영어-
dc.language.isoen-
dc.publisherCELL PRESS-
dc.titleA Map-like Micro-Organization of Grid Cells in the Medial Entorhinal Cortex-
dc.typeArticle-
dc.contributor.affiliatedAuthorYoon, Ki jung-
dc.identifier.doi10.1016/j.cell.2018.08.066-
dc.identifier.scopusid2-s2.0-85055074162-
dc.identifier.wosid000447780800016-
dc.identifier.bibliographicCitationCELL, v.175, no.3, pp.736 - 736-
dc.relation.isPartOfCELL-
dc.citation.titleCELL-
dc.citation.volume175-
dc.citation.number3-
dc.citation.startPage736-
dc.citation.endPage736-
dc.type.rimsART-
dc.type.docType정기학술지(Article(Perspective Article포함))-
dc.description.journalClass1-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaBiochemistry & Molecular Biology-
dc.relation.journalResearchAreaCell Biology-
dc.relation.journalWebOfScienceCategoryBiochemistry & Molecular Biology-
dc.relation.journalWebOfScienceCategoryCell Biology-
dc.subject.keywordPlusCELLULAR-RESOLUTION-
dc.subject.keywordPlusPATH-INTEGRATION-
dc.subject.keywordPlusLAYER-II-
dc.subject.keywordPlusVIRTUAL-NAVIGATION-
dc.subject.keywordPlusTRANSGENIC MICE-
dc.subject.keywordPlusOCEAN CELLS-
dc.subject.keywordPlusNEURONS-
dc.subject.keywordPlusRAT-
dc.subject.keywordPlusDYNAMICS-
dc.subject.keywordPlusMODEL-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S009286741831167X?via%3Dihub-
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