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SENeCA: Scalable Energy-efficient Neuromorphic Computer Architecture

dc.contributor.authorYousefzadeh, Amirreza
dc.contributor.authorVan Schaik, Gert-Jan
dc.contributor.authorTahghighi, Mohammad
dc.contributor.authorDetterer, Paul
dc.contributor.authorTraferro, Stefano
dc.contributor.authorHijdra, Martijn
dc.contributor.authorStuijt, Jan
dc.contributor.authorCorradi, Federico
dc.contributor.authorSifalakis, Manolis
dc.contributor.authorKonijnenburg, Mario
dc.date.accessioned2023-06-08T14:00:38Z
dc.date.available2022-11-05T02:53:43Z
dc.date.available2023-06-08T14:00:38Z
dc.date.issued2022
dc.identifier.issnna
dc.identifier.otherWOS:000859273200094
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/40677.3
dc.sourceWOS
dc.titleSENeCA: Scalable Energy-efficient Neuromorphic Computer Architecture
dc.typeProceedings paper
dc.contributor.imecauthorYousefzadeh, Amirreza
dc.contributor.imecauthorVan Schaik, Gert-Jan
dc.contributor.imecauthorTahghighi, Mohammad
dc.contributor.imecauthorDetterer, Paul
dc.contributor.imecauthorTraferro, Stefano
dc.contributor.imecauthorHijdra, Martijn
dc.contributor.imecauthorStuijt, Jan
dc.contributor.imecauthorCorradi, Federico
dc.contributor.imecauthorSifalakis, Manolis
dc.contributor.imecauthorKonijnenburg, Mario
dc.contributor.orcidimecYousefzadeh, Amirreza::0000-0002-2967-5090
dc.contributor.orcidimecHijdra, Martijn::0000-0003-3911-1712
dc.contributor.orcidimecStuijt, Jan::0000-0001-6797-2339
dc.contributor.orcidimecCorradi, Federico::0000-0002-5868-8077
dc.contributor.orcidimecSifalakis, Manolis::0000-0002-0949-2094
dc.contributor.orcidimecKonijnenburg, Mario::0000-0001-8016-0888
dc.identifier.doi10.1109/AICAS54282.2022.9870025
dc.identifier.eisbn978-1-6654-0996-4
dc.source.numberofpages4
dc.source.peerreviewyes
dc.source.beginpage371
dc.source.endpage374
dc.source.conferenceIEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) - Intelligent Technology in the Post-Pandemic Era
dc.source.conferencedateJUN 13-15, 2022
dc.source.conferencelocationIncheon
dc.source.journalna
imec.availabilityPublished - imec
dc.description.wosFundingTextThis work is partially funded by research and innovation projects TEMPO (ECSEL JU under grant agreement No 826655), ANDANTE (ECSEL JU under grant agreement No 876925) and DAIS (KDT JU under grant agreement No 101007273). The JU receives support from the European Union's Horizon 2020 research and innovation programme and Sweden, Spain, Portugal, Belgium, Germany, Slovenia, Czech Republic, Netherlands, Denmark, Norway and Turkey.


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320.500.12860/40677.3*2023-06-08T13:16:14Zvalidation by imec author
120.500.12860/406772022-11-05T02:53:43Z

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