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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Auteurs principaux:	Irem Boybat, Manuel Le Gallo, S. R. Nandakumar, Timoleon Moraitis, Thomas Parnell, Tomas Tuma, Bipin Rajendran, Yusuf Leblebici, Abu Sebastian, Evangelos Eleftheriou
Format:	article
Langue:	EN
Publié:	Nature Portfolio 2018
Sujets:	Science Q
Accès en ligne:	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 AT evangeloseleftheriou neuromorphiccomputingwithmultimemristivesynapses
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Neuromorphic computing with multi-memristive synapses

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