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dc.contributor.authorWernle, Tanja
dc.contributor.authorWaaga, Torgeir
dc.contributor.authorMørreaunet, Maria
dc.contributor.authorTreves, Alessandro
dc.contributor.authorMoser, May-Britt
dc.contributor.authorMoser, Edvard Ingjald
dc.date.accessioned2018-01-09T15:48:37Z
dc.date.available2018-01-09T15:48:37Z
dc.date.created2018-01-08T10:35:18Z
dc.date.issued2018
dc.identifier.issn1097-6256
dc.identifier.urihttp://hdl.handle.net/11250/2476539
dc.description.abstractNatural environments are represented by local maps of grid cells and place cells that are stitched together. The manner by which transitions between map fragments are generated is unknown. We recorded grid cells while rats were trained in two rectangular compartments, A and B (each 1 m × 2 m), separated by a wall. Once distinct grid maps were established in each environment, we removed the partition and allowed the rat to explore the merged environment (2 m × 2 m). The grid patterns were largely retained along the distal walls of the box. Nearer the former partition line, individual grid fields changed location, resulting almost immediately in local spatial periodicity and continuity between the two original maps. Grid cells belonging to the same grid module retained phase relationships during the transformation. Thus, when environments are merged, grid fields reorganize rapidly to establish spatial periodicity in the area where the environments meet.nb_NO
dc.language.isoengnb_NO
dc.publisherNature Publishing Groupnb_NO
dc.titleIntegration of grid maps in merged environmentsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber92–101nb_NO
dc.source.volume21nb_NO
dc.source.journalNature Neurosciencenb_NO
dc.identifier.doi10.1038/s41593-017-0036-6
dc.identifier.cristin1537413
dc.description.localcode© 2017. This is the authors’ accepted and refereed manuscript to the article. Locked until 11.6.2018 due to copyright restrictions.nb_NO
cristin.unitcode194,65,60,0
cristin.unitnameKavliinstitutt for nevrovitenskap
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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