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PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network

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dc.contributor.authorBalaji, Adarsha
dc.contributor.authorAdiraju, Prathyusha
dc.contributor.authorKashyap, Hirak J.
dc.contributor.authorDas, Anup
dc.contributor.authorKrichmar, Jeffrey L.
dc.contributor.authorDutt, Nikil D.
dc.contributor.authorCatthoor, Francky
dc.contributor.imecauthorCatthoor, Francky
dc.contributor.orcidimecCatthoor, Francky::0000-0002-3599-8515
dc.date.accessioned2022-01-20T10:31:07Z
dc.date.available2021-11-02T16:03:40Z
dc.date.available2022-01-20T10:29:35Z
dc.date.available2022-01-20T10:31:07Z
dc.date.issued2020
dc.identifier.eisbn978-1-7281-6926-2
dc.identifier.issn2161-4393
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/38079
dc.publisherIEEE
dc.source.conferenceInternational Joint Conference on Neural Networks (IJCNN) held as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI)
dc.source.conferencedateJUL 19-24, 2020
dc.source.conferencelocationVirtual
dc.source.journalna
dc.source.numberofpages10
dc.title

PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network

dc.typeProceedings paper
dspace.entity.typePublication
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