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dc.contributor.authorYin, Bojian
dc.contributor.authorCorradi, Federico
dc.contributor.authorBohte, Sander M. M.
dc.date.accessioned2023-11-03T09:32:21Z
dc.date.available2023-05-29T20:15:29Z
dc.date.available2023-11-03T09:32:21Z
dc.date.issued2023
dc.identifier.issn2522-5839
dc.identifier.otherWOS:000984003300001
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/41661.2
dc.sourceWOS
dc.titleAccurate online training of dynamical spiking neural networks through Forward Propagation Through Time
dc.typeJournal article
dc.contributor.imecauthorCorradi, Federico
dc.contributor.orcidimecCorradi, Federico::0000-0002-5868-8077
dc.date.embargo2023-11-08
dc.identifier.doi10.1038/s42256-023-00650-4
dc.source.numberofpages12
dc.source.peerreviewyes
dc.source.beginpage518
dc.source.endpage527
dc.source.journalNATURE MACHINE INTELLIGENCE
dc.source.issue5
dc.source.volume5
imec.availabilityPublished - imec
dc.description.wosFundingTextB.Y. is supported by the Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Toegepaste en Technische Wetenschappen (NWO-TTW) Programme 'Efficient Deep Learning' (EDL) P16-25. S.M.B. is supported by the European Union (grant agreement 7202070 'Human Brain Project'). The authors are grateful to H. Corporaal for reading the manuscript and providing constructive remarks.


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