Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits

Memristive devices used in neuromorphic computing typically need to be accessed using transistors, adding circuit complexity and size. In this work, the authors demonstrate a neural network using a transistor-free passive memristor crossbar array, offering potential circuit miniaturisation and energ...

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Autores principales: F. Merrikh Bayat, M. Prezioso, B. Chakrabarti, H. Nili, I. Kataeva, D. Strukov
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/b43ad9a1d9064461ab060bcd4cf39d27
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spelling oai:doaj.org-article:b43ad9a1d9064461ab060bcd4cf39d272021-12-02T16:56:59ZImplementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits10.1038/s41467-018-04482-42041-1723https://doaj.org/article/b43ad9a1d9064461ab060bcd4cf39d272018-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-04482-4https://doaj.org/toc/2041-1723Memristive devices used in neuromorphic computing typically need to be accessed using transistors, adding circuit complexity and size. In this work, the authors demonstrate a neural network using a transistor-free passive memristor crossbar array, offering potential circuit miniaturisation and energy savings.F. Merrikh BayatM. PreziosoB. ChakrabartiH. NiliI. KataevaD. StrukovNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-7 (2018)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
F. Merrikh Bayat
M. Prezioso
B. Chakrabarti
H. Nili
I. Kataeva
D. Strukov
Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits
description Memristive devices used in neuromorphic computing typically need to be accessed using transistors, adding circuit complexity and size. In this work, the authors demonstrate a neural network using a transistor-free passive memristor crossbar array, offering potential circuit miniaturisation and energy savings.
format article
author F. Merrikh Bayat
M. Prezioso
B. Chakrabarti
H. Nili
I. Kataeva
D. Strukov
author_facet F. Merrikh Bayat
M. Prezioso
B. Chakrabarti
H. Nili
I. Kataeva
D. Strukov
author_sort F. Merrikh Bayat
title Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits
title_short Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits
title_full Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits
title_fullStr Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits
title_full_unstemmed Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits
title_sort implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/b43ad9a1d9064461ab060bcd4cf39d27
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