Neuromorphic computing with multi-memristive synapses

Memristive technology is a promising avenue towards realizing efficient non-von Neumann neuromorphic hardware. Boybat et al. proposes a multi-memristive synaptic architecture with a counter-based global arbitration scheme to address challenges associated with the non-ideal memristive device behavior...

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Autores principales: Irem Boybat, Manuel Le Gallo, S. R. Nandakumar, Timoleon Moraitis, Thomas Parnell, Tomas Tuma, Bipin Rajendran, Yusuf Leblebici, Abu Sebastian, Evangelos Eleftheriou
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Lenguaje:EN
Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/beb0eab547c74bc38fb3bf5a3f89b8e7
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spelling oai:doaj.org-article:beb0eab547c74bc38fb3bf5a3f89b8e72021-12-02T17:32:15ZNeuromorphic computing with multi-memristive synapses10.1038/s41467-018-04933-y2041-1723https://doaj.org/article/beb0eab547c74bc38fb3bf5a3f89b8e72018-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-04933-yhttps://doaj.org/toc/2041-1723Memristive technology is a promising avenue towards realizing efficient non-von Neumann neuromorphic hardware. Boybat et al. proposes a multi-memristive synaptic architecture with a counter-based global arbitration scheme to address challenges associated with the non-ideal memristive device behavior.Irem BoybatManuel Le GalloS. R. NandakumarTimoleon MoraitisThomas ParnellTomas TumaBipin RajendranYusuf LeblebiciAbu SebastianEvangelos EleftheriouNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-12 (2018)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Irem Boybat
Manuel Le Gallo
S. R. Nandakumar
Timoleon Moraitis
Thomas Parnell
Tomas Tuma
Bipin Rajendran
Yusuf Leblebici
Abu Sebastian
Evangelos Eleftheriou
Neuromorphic computing with multi-memristive synapses
description Memristive technology is a promising avenue towards realizing efficient non-von Neumann neuromorphic hardware. Boybat et al. proposes a multi-memristive synaptic architecture with a counter-based global arbitration scheme to address challenges associated with the non-ideal memristive device behavior.
format article
author Irem Boybat
Manuel Le Gallo
S. R. Nandakumar
Timoleon Moraitis
Thomas Parnell
Tomas Tuma
Bipin Rajendran
Yusuf Leblebici
Abu Sebastian
Evangelos Eleftheriou
author_facet Irem Boybat
Manuel Le Gallo
S. R. Nandakumar
Timoleon Moraitis
Thomas Parnell
Tomas Tuma
Bipin Rajendran
Yusuf Leblebici
Abu Sebastian
Evangelos Eleftheriou
author_sort Irem Boybat
title Neuromorphic computing with multi-memristive synapses
title_short Neuromorphic computing with multi-memristive synapses
title_full Neuromorphic computing with multi-memristive synapses
title_fullStr Neuromorphic computing with multi-memristive synapses
title_full_unstemmed Neuromorphic computing with multi-memristive synapses
title_sort neuromorphic computing with multi-memristive synapses
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/beb0eab547c74bc38fb3bf5a3f89b8e7
work_keys_str_mv AT iremboybat neuromorphiccomputingwithmultimemristivesynapses
AT manuellegallo neuromorphiccomputingwithmultimemristivesynapses
AT srnandakumar neuromorphiccomputingwithmultimemristivesynapses
AT timoleonmoraitis neuromorphiccomputingwithmultimemristivesynapses
AT thomasparnell neuromorphiccomputingwithmultimemristivesynapses
AT tomastuma neuromorphiccomputingwithmultimemristivesynapses
AT bipinrajendran neuromorphiccomputingwithmultimemristivesynapses
AT yusufleblebici neuromorphiccomputingwithmultimemristivesynapses
AT abusebastian neuromorphiccomputingwithmultimemristivesynapses
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