Publication:

Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks

Date

2021
Journal article
https://doi.org/10.1038/s42256-021-00397-w
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dc.contributor.authorYin, Bojian
dc.contributor.authorCorradi, Federico
dc.contributor.authorBohte, Sander M.
dc.contributor.imecauthorCorradi, Federico
dc.contributor.orcidimecCorradi, Federico::0000-0002-5868-8077
dc.date.accessioned2021-12-14T09:56:04Z
dc.date.available2021-11-02T15:55:22Z
dc.date.available2021-12-14T09:56:04Z
dc.date.embargo9999-12-31
dc.date.issued2021
dc.identifier.doi10.1038/s42256-021-00397-w
dc.identifier.issn2522-5839
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/37448
dc.publisherNATURE PORTFOLIO
dc.source.beginpage905
dc.source.endpage+
dc.source.issue10
dc.source.journalNATURE MACHINE INTELLIGENCE
dc.source.numberofpages14
dc.source.volume3
dc.subject.keywordsNEUROSCIENCE
dc.subject.keywordsMACHINE
dc.subject.keywordsLSTM
dc.title

Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks

dc.typeJournal article
dspace.entity.typePublication
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