Capacitive neural network with neuro-transistors

Though memristors can potentially emulate neuron and synapse functionality, useful signal energy is lost to Joule heating. Here, the authors demonstrate neuro-transistors with a pseudo-memcapacitive gate that actively process signals via energy-efficient capacitively-coupled neural networks.

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Autores principales:	Zhongrui Wang, Mingyi Rao, Jin-Woo Han, Jiaming Zhang, Peng Lin, Yunning Li, Can Li, Wenhao Song, Shiva Asapu, Rivu Midya, Ye Zhuo, Hao Jiang, Jung Ho Yoon, Navnidhi Kumar Upadhyay, Saumil Joshi, Miao Hu, John Paul Strachan, Mark Barnell, Qing Wu, Huaqiang Wu, Qinru Qiu, R. Stanley Williams, Qiangfei Xia, J. Joshua Yang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/0173b1671a3b4225a416d0a59bcbef60
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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spelling	oai:doaj.org-article:0173b1671a3b4225a416d0a59bcbef602021-12-02T17:32:19ZCapacitive neural network with neuro-transistors10.1038/s41467-018-05677-52041-1723https://doaj.org/article/0173b1671a3b4225a416d0a59bcbef602018-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-05677-5https://doaj.org/toc/2041-1723Though memristors can potentially emulate neuron and synapse functionality, useful signal energy is lost to Joule heating. Here, the authors demonstrate neuro-transistors with a pseudo-memcapacitive gate that actively process signals via energy-efficient capacitively-coupled neural networks.Zhongrui WangMingyi RaoJin-Woo HanJiaming ZhangPeng LinYunning LiCan LiWenhao SongShiva AsapuRivu MidyaYe ZhuoHao JiangJung Ho YoonNavnidhi Kumar UpadhyaySaumil JoshiMiao HuJohn Paul StrachanMark BarnellQing WuHuaqiang WuQinru QiuR. Stanley WilliamsQiangfei XiaJ. Joshua YangNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-10 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Zhongrui Wang Mingyi Rao Jin-Woo Han Jiaming Zhang Peng Lin Yunning Li Can Li Wenhao Song Shiva Asapu Rivu Midya Ye Zhuo Hao Jiang Jung Ho Yoon Navnidhi Kumar Upadhyay Saumil Joshi Miao Hu John Paul Strachan Mark Barnell Qing Wu Huaqiang Wu Qinru Qiu R. Stanley Williams Qiangfei Xia J. Joshua Yang Capacitive neural network with neuro-transistors
description	Though memristors can potentially emulate neuron and synapse functionality, useful signal energy is lost to Joule heating. Here, the authors demonstrate neuro-transistors with a pseudo-memcapacitive gate that actively process signals via energy-efficient capacitively-coupled neural networks.
format	article
author	Zhongrui Wang Mingyi Rao Jin-Woo Han Jiaming Zhang Peng Lin Yunning Li Can Li Wenhao Song Shiva Asapu Rivu Midya Ye Zhuo Hao Jiang Jung Ho Yoon Navnidhi Kumar Upadhyay Saumil Joshi Miao Hu John Paul Strachan Mark Barnell Qing Wu Huaqiang Wu Qinru Qiu R. Stanley Williams Qiangfei Xia J. Joshua Yang
author_facet	Zhongrui Wang Mingyi Rao Jin-Woo Han Jiaming Zhang Peng Lin Yunning Li Can Li Wenhao Song Shiva Asapu Rivu Midya Ye Zhuo Hao Jiang Jung Ho Yoon Navnidhi Kumar Upadhyay Saumil Joshi Miao Hu John Paul Strachan Mark Barnell Qing Wu Huaqiang Wu Qinru Qiu R. Stanley Williams Qiangfei Xia J. Joshua Yang
author_sort	Zhongrui Wang
title	Capacitive neural network with neuro-transistors
title_short	Capacitive neural network with neuro-transistors
title_full	Capacitive neural network with neuro-transistors
title_fullStr	Capacitive neural network with neuro-transistors
title_full_unstemmed	Capacitive neural network with neuro-transistors
title_sort	capacitive neural network with neuro-transistors
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/0173b1671a3b4225a416d0a59bcbef60
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Capacitive neural network with neuro-transistors

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