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dc.contributor.authorPezzulo, Giovanni
dc.contributor.authorD'Amato, Leo
dc.contributor.authorMannella, Francesco
dc.contributor.authorPriorelli, Matteo
dc.contributor.authorvan de Maele, Toon
dc.contributor.authorStoianov, Ivilin Peev
dc.contributor.authorFriston, Karl
dc.date.accessioned2024-08-12T08:13:56Z
dc.date.available2024-04-07T18:16:59Z
dc.date.available2024-08-12T08:13:56Z
dc.date.issued2024
dc.identifier.issn0077-8923
dc.identifier.otherWOS:001190434000001
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/43795.2
dc.sourceWOS
dc.titleNeural representation in active inference: Using generative models to interact with-and understand-the lived world
dc.typeJournal article
dc.contributor.imecauthorvan de Maele, Toon
dc.contributor.orcidimecVan de Maele, Toon::0000-0001-7583-3291
dc.identifier.doi10.1111/nyas.15118
dc.source.numberofpages24
dc.source.peerreviewyes
dc.source.beginpage45
dc.source.endpage68
dc.source.journalANNALS OF THE NEW YORK ACADEMY OF SCIENCES
dc.identifier.pmidMEDLINE:38528782
dc.source.issue1
dc.source.volume1534
imec.availabilityPublished - imec
dc.description.wosFundingTextThis research received funding from the European Union's Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreements No. 945539 (Human Brain Project SGA3) to G.P., No. 952215 (TAILOR) to G.P., and No. 951910 (MAIA) to I.P.S.; the European Research Council under the Grant Agreement No. 820213 (ThinkAhead) to G.P. the Wellcome Centre for Human Neuroimaging (Ref: 205103/Z/16/Z) to K.F., a Canada-UK Artificial Intelligence Initiative (Ref: ES/T01279X/1) to K.F., the Italian National Recovery and Resilience Plan (NRRP), M4C2, funded by the European Union-NextGenerationEU (Project IR0000011, CUP B51E22000150006, "EBRAINS-Italy"; Project PE0000013-FAIR) to G.P., PRIN 2017KZNZLN to I.P.S., and PRIN PNRR P20224FESY to G.P. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. We used a Generative AI model to correct typographical errors and edit language for clarity.


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