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dc.contributor.authorBellmund, Jacob Lukas Sarid
dc.contributor.authorDeuker, Lorena
dc.contributor.authorDoeller, Christian Fritz Andreas
dc.date.accessioned2019-12-11T10:21:06Z
dc.date.available2019-12-11T10:21:06Z
dc.date.created2019-09-26T13:18:40Z
dc.date.issued2019
dc.identifier.issn2050-084X
dc.identifier.urihttp://hdl.handle.net/11250/2632698
dc.description.abstractRemembering event sequences is central to episodic memory and presumably supported by the hippocampal-entorhinal region. We previously demonstrated that the hippocampus maps spatial and temporal distances between events encountered along a route through a virtual city (Deuker et al., 2016), but the content of entorhinal mnemonic representations remains unclear. Here, we demonstrate that multi-voxel representations in the anterior-lateral entorhinal cortex (alEC) — the human homologue of the rodent lateral entorhinal cortex — specifically reflect the temporal event structure after learning. Holistic representations of the sequence structure related to memory recall and the timeline of events could be reconstructed from entorhinal multi-voxel patterns. Our findings demonstrate representations of temporal structure in the alEC; dovetailing with temporal information carried by population signals in the lateral entorhinal cortex of navigating rodents and alEC activations during temporal memory retrieval. Our results provide novel evidence for the role of the alEC in representing time for episodic memory.nb_NO
dc.language.isoengnb_NO
dc.publishereLife Sciences Publicationsnb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleMapping sequence structure in the human lateral entorhinal cortexnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.volume8nb_NO
dc.source.journaleLIFEnb_NO
dc.identifier.doi10.7554/eLife.45333
dc.identifier.cristin1729570
dc.description.localcodeCopyright Bellmund et al. This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.nb_NO
cristin.unitcode194,65,60,0
cristin.unitnameKavliinstitutt for nevrovitenskap
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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