Mimicking efferent nerves using a graphdiyne-based artificial synapse with multiple ion diffusion dynamics

Constructing artificial sensorimotor systems for robotic applications calls for development of synaptic connections for complicated information processing. Wei et al. propose a graphdiyne-based artificial synapse capable of parallel processing signals and utilize it in an artificial mechanoreceptor...

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Autores principales: Huanhuan Wei, Rongchao Shi, Lin Sun, Haiyang Yu, Jiangdong Gong, Chao Liu, Zhipeng Xu, Yao Ni, Jialiang Xu, Wentao Xu
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/bc418053021441d4a5428a4a9cc26d71
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spelling oai:doaj.org-article:bc418053021441d4a5428a4a9cc26d712021-12-02T14:03:50ZMimicking efferent nerves using a graphdiyne-based artificial synapse with multiple ion diffusion dynamics10.1038/s41467-021-21319-92041-1723https://doaj.org/article/bc418053021441d4a5428a4a9cc26d712021-02-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-21319-9https://doaj.org/toc/2041-1723Constructing artificial sensorimotor systems for robotic applications calls for development of synaptic connections for complicated information processing. Wei et al. propose a graphdiyne-based artificial synapse capable of parallel processing signals and utilize it in an artificial mechanoreceptor system.Huanhuan WeiRongchao ShiLin SunHaiyang YuJiangdong GongChao LiuZhipeng XuYao NiJialiang XuWentao XuNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Huanhuan Wei
Rongchao Shi
Lin Sun
Haiyang Yu
Jiangdong Gong
Chao Liu
Zhipeng Xu
Yao Ni
Jialiang Xu
Wentao Xu
Mimicking efferent nerves using a graphdiyne-based artificial synapse with multiple ion diffusion dynamics
description Constructing artificial sensorimotor systems for robotic applications calls for development of synaptic connections for complicated information processing. Wei et al. propose a graphdiyne-based artificial synapse capable of parallel processing signals and utilize it in an artificial mechanoreceptor system.
format article
author Huanhuan Wei
Rongchao Shi
Lin Sun
Haiyang Yu
Jiangdong Gong
Chao Liu
Zhipeng Xu
Yao Ni
Jialiang Xu
Wentao Xu
author_facet Huanhuan Wei
Rongchao Shi
Lin Sun
Haiyang Yu
Jiangdong Gong
Chao Liu
Zhipeng Xu
Yao Ni
Jialiang Xu
Wentao Xu
author_sort Huanhuan Wei
title Mimicking efferent nerves using a graphdiyne-based artificial synapse with multiple ion diffusion dynamics
title_short Mimicking efferent nerves using a graphdiyne-based artificial synapse with multiple ion diffusion dynamics
title_full Mimicking efferent nerves using a graphdiyne-based artificial synapse with multiple ion diffusion dynamics
title_fullStr Mimicking efferent nerves using a graphdiyne-based artificial synapse with multiple ion diffusion dynamics
title_full_unstemmed Mimicking efferent nerves using a graphdiyne-based artificial synapse with multiple ion diffusion dynamics
title_sort mimicking efferent nerves using a graphdiyne-based artificial synapse with multiple ion diffusion dynamics
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/bc418053021441d4a5428a4a9cc26d71
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