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Evidence for a deep, distributed and dynamic code for animacy in human ventral anterior temporal cortex.

cam.issuedOnline2021-10-27
datacite.contributor.supervisoreditor: Kravitz, Dwight
datacite.contributor.supervisorsenior_editor: Baker, Chris I
dc.contributor.authorRogers, Timothy T
dc.contributor.authorCox, Christopher R
dc.contributor.authorLu, Qihong
dc.contributor.authorShimotake, Akihiro
dc.contributor.authorKikuchi, Takayuki
dc.contributor.authorKunieda, Takeharu
dc.contributor.authorMiyamoto, Susumu
dc.contributor.authorTakahashi, Ryosuke
dc.contributor.authorIkeda, Akio
dc.contributor.authorMatsumoto, Riki
dc.contributor.authorLambon Ralph, Matthew
dc.contributor.orcidRogers, Timothy T [0000-0001-6304-755X]
dc.contributor.orcidCox, Christopher R [0000-0001-8287-3865]
dc.contributor.orcidLambon Ralph, Matthew [0000-0001-5907-2488]
dc.date.accessioned2021-10-28T08:10:04Z
dc.date.available2021-10-28T08:10:04Z
dc.date.issued2021-10-27
dc.date.submitted2021-01-05
dc.date.updated2021-10-28T08:10:02Z
dc.descriptionFunder: European Research Council; FundRef: http://dx.doi.org/10.13039/501100000781; Grant(s): GAP: 502670428 - BRAIN2MIND_NEUROCOMP
dc.description.abstractHow does the human brain encode semantic information about objects? This paper reconciles two seemingly contradictory views. The first proposes that local neural populations independently encode semantic features; the second, that semantic representations arise as a dynamic distributed code that changes radically with stimulus processing. Combining simulations with a well-known neural network model of semantic memory, multivariate pattern classification, and human electrocorticography, we find that both views are partially correct: information about the animacy of a depicted stimulus is distributed across ventral temporal cortex in a dynamic code possessing feature-like elements posteriorly but with elements that change rapidly and nonlinearly in anterior regions. This pattern is consistent with the view that anterior temporal lobes serve as a deep cross-modal 'hub' in an interactive semantic network, and more generally suggests that tertiary association cortices may adopt dynamic distributed codes difficult to detect with common brain imaging methods.
dc.identifier.doi10.17863/CAM.77439
dc.identifier.eissn2050-084X
dc.identifier.issn2050-084X
dc.identifier.other66276
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/329995
dc.languageen
dc.publishereLife Sciences Publications, Ltd
dc.subjectResearch Article
dc.subjectNeuroscience
dc.subjectsemantic memory
dc.subjectcognition
dc.subjectneural networks
dc.subjectECOG
dc.subjecttemporal lobe
dc.subjectmvpa
dc.subjectHuman
dc.titleEvidence for a deep, distributed and dynamic code for animacy in human ventral anterior temporal cortex.
dc.typeArticle
dcterms.dateAccepted2021-10-09
prism.publicationNameElife
prism.volume10
pubs.funder-project-idMedical Research Council (MR/R023883/1)
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
rioxxterms.versionVoR
rioxxterms.versionofrecord10.7554/eLife.66276

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