An artificial spiking afferent nerve based on Mott memristors for neurorobotics

Though artificial sensory systems based on electronic devices have been realized, further transformation of data into spikes is required for neural network optimization. Here, based on NbO x Mott memristors, the authors report artificial spiking afferent nerves for accessing spiking systems and demo...

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Autores principales:	Xumeng Zhang, Ye Zhuo, Qing Luo, Zuheng Wu, Rivu Midya, Zhongrui Wang, Wenhao Song, Rui Wang, Navnidhi K. Upadhyay, Yilin Fang, Fatemeh Kiani, Mingyi Rao, Yang Yang, Qiangfei Xia, Qi Liu, Ming Liu, J. Joshua Yang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/9af183381c6e456c9c444814c66f02b4
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spelling	oai:doaj.org-article:9af183381c6e456c9c444814c66f02b42021-12-02T15:39:14ZAn artificial spiking afferent nerve based on Mott memristors for neurorobotics10.1038/s41467-019-13827-62041-1723https://doaj.org/article/9af183381c6e456c9c444814c66f02b42020-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-13827-6https://doaj.org/toc/2041-1723Though artificial sensory systems based on electronic devices have been realized, further transformation of data into spikes is required for neural network optimization. Here, based on NbO x Mott memristors, the authors report artificial spiking afferent nerves for accessing spiking systems and demonstrate spiking mechanoreceptor systems.Xumeng ZhangYe ZhuoQing LuoZuheng WuRivu MidyaZhongrui WangWenhao SongRui WangNavnidhi K. UpadhyayYilin FangFatemeh KianiMingyi RaoYang YangQiangfei XiaQi LiuMing LiuJ. Joshua YangNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Xumeng Zhang Ye Zhuo Qing Luo Zuheng Wu Rivu Midya Zhongrui Wang Wenhao Song Rui Wang Navnidhi K. Upadhyay Yilin Fang Fatemeh Kiani Mingyi Rao Yang Yang Qiangfei Xia Qi Liu Ming Liu J. Joshua Yang An artificial spiking afferent nerve based on Mott memristors for neurorobotics
description	Though artificial sensory systems based on electronic devices have been realized, further transformation of data into spikes is required for neural network optimization. Here, based on NbO x Mott memristors, the authors report artificial spiking afferent nerves for accessing spiking systems and demonstrate spiking mechanoreceptor systems.
format	article
author	Xumeng Zhang Ye Zhuo Qing Luo Zuheng Wu Rivu Midya Zhongrui Wang Wenhao Song Rui Wang Navnidhi K. Upadhyay Yilin Fang Fatemeh Kiani Mingyi Rao Yang Yang Qiangfei Xia Qi Liu Ming Liu J. Joshua Yang
author_facet	Xumeng Zhang Ye Zhuo Qing Luo Zuheng Wu Rivu Midya Zhongrui Wang Wenhao Song Rui Wang Navnidhi K. Upadhyay Yilin Fang Fatemeh Kiani Mingyi Rao Yang Yang Qiangfei Xia Qi Liu Ming Liu J. Joshua Yang
author_sort	Xumeng Zhang
title	An artificial spiking afferent nerve based on Mott memristors for neurorobotics
title_short	An artificial spiking afferent nerve based on Mott memristors for neurorobotics
title_full	An artificial spiking afferent nerve based on Mott memristors for neurorobotics
title_fullStr	An artificial spiking afferent nerve based on Mott memristors for neurorobotics
title_full_unstemmed	An artificial spiking afferent nerve based on Mott memristors for neurorobotics
title_sort	artificial spiking afferent nerve based on mott memristors for neurorobotics
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/9af183381c6e456c9c444814c66f02b4
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An artificial spiking afferent nerve based on Mott memristors for neurorobotics

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