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...
Guardado en:
Autores principales: | , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2018
|
Materias: | |
Acceso en línea: | https://doaj.org/article/b43ad9a1d9064461ab060bcd4cf39d27 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:b43ad9a1d9064461ab060bcd4cf39d27 |
---|---|
record_format |
dspace |
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 |
work_keys_str_mv |
AT fmerrikhbayat implementationofmultilayerperceptronnetworkwithhighlyuniformpassivememristivecrossbarcircuits AT mprezioso implementationofmultilayerperceptronnetworkwithhighlyuniformpassivememristivecrossbarcircuits AT bchakrabarti implementationofmultilayerperceptronnetworkwithhighlyuniformpassivememristivecrossbarcircuits AT hnili implementationofmultilayerperceptronnetworkwithhighlyuniformpassivememristivecrossbarcircuits AT ikataeva implementationofmultilayerperceptronnetworkwithhighlyuniformpassivememristivecrossbarcircuits AT dstrukov implementationofmultilayerperceptronnetworkwithhighlyuniformpassivememristivecrossbarcircuits |
_version_ |
1718382701081264128 |