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Learning generative state space models for active inference

dc.contributor.authorCatal, Ozan
dc.contributor.authorWauthier, Samuel
dc.contributor.authorDe Boom, Cedric
dc.contributor.authorVerbelen, Tim
dc.contributor.authorDhoedt, Bart
dc.date.accessioned2021-10-28T20:37:04Z
dc.date.available2021-10-28T20:37:04Z
dc.date.issued2020-11
dc.identifier.issn1662-5188
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/34868
dc.sourceIIOimport
dc.titleLearning generative state space models for active inference
dc.typeJournal article
dc.contributor.imecauthorCatal, Ozan
dc.contributor.imecauthorWauthier, Samuel
dc.contributor.imecauthorDe Boom, Cedric
dc.contributor.imecauthorVerbelen, Tim
dc.contributor.imecauthorDhoedt, Bart
dc.contributor.orcidimecWauthier, Samuel::0000-0002-1967-2195
dc.contributor.orcidimecVerbelen, Tim::0000-0003-2731-7262
dc.contributor.orcidimecDhoedt, Bart::0000-0002-7271-7479
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage574372
dc.source.journalFrontiers in Computational Neuroscience
dc.source.volume14
dc.identifier.urlhttps://doi.org/10.3389/fncom.2020.574372
imec.availabilityPublished - open access


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