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World model learning and inference

dc.contributor.authorFriston, Karl
dc.contributor.authorMoran, Rosalyn J
dc.contributor.authorNagai, Yukie
dc.contributor.authorTaniguchi, Tadahiro
dc.contributor.authorGomi, Hiroaki
dc.contributor.authorTenenbaum, Josh
dc.date.accessioned2023-04-04T16:19:29Z
dc.date.available2023-04-04T16:19:29Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/150396
dc.language.isoen
dc.publisherElsevier BVen_US
dc.relation.isversionof10.1016/J.NEUNET.2021.09.011en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceElsevieren_US
dc.titleWorld model learning and inferenceen_US
dc.typeArticleen_US
dc.identifier.citationFriston, Karl, Moran, Rosalyn J, Nagai, Yukie, Taniguchi, Tadahiro, Gomi, Hiroaki et al. 2021. "World model learning and inference." Neural Networks, 144.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.relation.journalNeural Networksen_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.updated2023-04-04T15:58:01Z
dspace.orderedauthorsFriston, K; Moran, RJ; Nagai, Y; Taniguchi, T; Gomi, H; Tenenbaum, Jen_US
dspace.date.submission2023-04-04T15:58:04Z
mit.journal.volume144en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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