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dc.contributor.authorIssa, Elias Bassam
dc.contributor.authorCadieu, Charles
dc.contributor.authorDiCarlo, James
dc.date.accessioned2019-03-07T19:37:22Z
dc.date.available2019-03-07T19:37:22Z
dc.date.issued2018-11
dc.date.submitted2018-10
dc.identifier.issn2050-084X
dc.identifier.urihttp://hdl.handle.net/1721.1/120823
dc.description.abstractVentral visual stream neural responses are dynamic, even for static image presentations. However, dynamical neural models of visual cortex are lacking as most progress has been made modeling static, time-averaged responses. Here, we studied population neural dynamics during face detection across three cortical processing stages. Remarkably, ~30 milliseconds after the initially evoked response, we found that neurons in intermediate level areas decreased their responses to typical configurations of their preferred face parts relative to their response for atypical configurations even while neurons in higher areas achieved and maintained a preference for typical configurations. These hierarchical neural dynamics were inconsistent with standard feedforward circuits. Rather, recurrent models computing prediction errors between stages captured the observed temporal signatures. This model of neural dynamics, which simply augments the standard feedforward model of online vision, suggests that neural responses to static images may encode top-down prediction errors in addition to bottom-up feature estimates.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant R01-EY014970)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant K99-EY022671)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant F32-EY019609)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant F32-EY022845)en_US
dc.description.sponsorshipUnited States. Office of Naval Research (MURI-114407)en_US
dc.description.sponsorshipMcGovern Institute for Brain Research at MITen_US
dc.publishereLife Sciences Publications, Ltd.en_US
dc.relation.isversionofhttp://dx.doi.org/10.7554/eLife.42870en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceeLifeen_US
dc.titleNeural dynamics at successive stages of the ventral visual stream are consistent with hierarchical error signalsen_US
dc.typeArticleen_US
dc.identifier.citationIssa, Elias B, Charles F Cadieu, and James J DiCarlo. “Neural Dynamics at Successive Stages of the Ventral Visual Stream Are Consistent with Hierarchical Error Signals.” eLife 7 (November 28, 2018). © Issa et al.en_US
dc.contributor.departmentMcGovern Institute for Brain Research at MITen_US
dc.contributor.mitauthorIssa, Elias Bassam
dc.contributor.mitauthorCadieu, Charles
dc.contributor.mitauthorDiCarlo, James
dc.relation.journaleLifeen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2019-03-01T13:31:53Z
dspace.orderedauthorsIssa, Elias B; Cadieu, Charles F; DiCarlo, James Jen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-7779-2219
dc.identifier.orcidhttps://orcid.org/0000-0002-1592-5896
mit.licensePUBLISHER_CCen_US


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