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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Main Authors:	F. Merrikh Bayat, M. Prezioso, B. Chakrabarti, H. Nili, I. Kataeva, D. Strukov
Format:	Article
Language:	English
Published:	Nature Publishing Group 2018-06-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-018-04482-4

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spelling	doaj-b43ad9a1d9064461ab060bcd4cf39d272021-05-11T10:22:57ZengNature Publishing GroupNature Communications2041-17232018-06-01911710.1038/s41467-018-04482-4Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuitsF. Merrikh Bayat0M. Prezioso1B. Chakrabarti2H. Nili3I. Kataeva4D. Strukov5Electrical and Computer Engineering Department, University of CaliforniaElectrical and Computer Engineering Department, University of CaliforniaElectrical and Computer Engineering Department, University of CaliforniaElectrical and Computer Engineering Department, University of CaliforniaDENSO CORPElectrical and Computer Engineering Department, University of CaliforniaMemristive 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.https://doi.org/10.1038/s41467-018-04482-4
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	F. Merrikh Bayat M. Prezioso B. Chakrabarti H. Nili I. Kataeva D. Strukov
spellingShingle	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 Nature Communications
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 Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2018-06-01
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.
url	https://doi.org/10.1038/s41467-018-04482-4
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Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits

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