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A bioinspired analogous nerve towards artificial intelligence
A bionic artificial device commonly integrates various distributed functional units to mimic the functions of biological sensory neural system, bringing intricate interconnections, complicated structure, and interference in signal transmission. Here we show an all-in-one bionic artificial nerve base...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6959309/ https://www.ncbi.nlm.nih.gov/pubmed/31937777 http://dx.doi.org/10.1038/s41467-019-14214-x |
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author | Liao, Xinqin Song, Weitao Zhang, Xiangyu Yan, Chaoqun Li, Tianliang Ren, Hongliang Liu, Cunzhi Wang, Yongtian Zheng, Yuanjin |
author_facet | Liao, Xinqin Song, Weitao Zhang, Xiangyu Yan, Chaoqun Li, Tianliang Ren, Hongliang Liu, Cunzhi Wang, Yongtian Zheng, Yuanjin |
author_sort | Liao, Xinqin |
collection | PubMed |
description | A bionic artificial device commonly integrates various distributed functional units to mimic the functions of biological sensory neural system, bringing intricate interconnections, complicated structure, and interference in signal transmission. Here we show an all-in-one bionic artificial nerve based on a separate electrical double-layers structure that integrates the functions of perception, recognition, and transmission. The bionic artificial nerve features flexibility, rapid response (<21 ms), high robustness, excellent durability (>10,000 tests), personalized cutability, and no energy consumption when no mechanical stimulation is being applied. The response signals are highly regionally differentiated for the mechanical stimulations, which enables the bionic artificial nerve to mimic the spatiotemporally dynamic logic of a biological neural network. Multifunctional touch interactions demonstrate the enormous potential of the bionic artificial nerve for human-machine hybrid perceptual enhancement. By incorporating the spatiotemporal resolution function and algorithmic analysis, we hope that bionic artificial nerves will promote further development of sophisticated neuroprosthetics and intelligent robotics. |
format | Online Article Text |
id | pubmed-6959309 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69593092020-01-15 A bioinspired analogous nerve towards artificial intelligence Liao, Xinqin Song, Weitao Zhang, Xiangyu Yan, Chaoqun Li, Tianliang Ren, Hongliang Liu, Cunzhi Wang, Yongtian Zheng, Yuanjin Nat Commun Article A bionic artificial device commonly integrates various distributed functional units to mimic the functions of biological sensory neural system, bringing intricate interconnections, complicated structure, and interference in signal transmission. Here we show an all-in-one bionic artificial nerve based on a separate electrical double-layers structure that integrates the functions of perception, recognition, and transmission. The bionic artificial nerve features flexibility, rapid response (<21 ms), high robustness, excellent durability (>10,000 tests), personalized cutability, and no energy consumption when no mechanical stimulation is being applied. The response signals are highly regionally differentiated for the mechanical stimulations, which enables the bionic artificial nerve to mimic the spatiotemporally dynamic logic of a biological neural network. Multifunctional touch interactions demonstrate the enormous potential of the bionic artificial nerve for human-machine hybrid perceptual enhancement. By incorporating the spatiotemporal resolution function and algorithmic analysis, we hope that bionic artificial nerves will promote further development of sophisticated neuroprosthetics and intelligent robotics. Nature Publishing Group UK 2020-01-14 /pmc/articles/PMC6959309/ /pubmed/31937777 http://dx.doi.org/10.1038/s41467-019-14214-x Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Liao, Xinqin Song, Weitao Zhang, Xiangyu Yan, Chaoqun Li, Tianliang Ren, Hongliang Liu, Cunzhi Wang, Yongtian Zheng, Yuanjin A bioinspired analogous nerve towards artificial intelligence |
title | A bioinspired analogous nerve towards artificial intelligence |
title_full | A bioinspired analogous nerve towards artificial intelligence |
title_fullStr | A bioinspired analogous nerve towards artificial intelligence |
title_full_unstemmed | A bioinspired analogous nerve towards artificial intelligence |
title_short | A bioinspired analogous nerve towards artificial intelligence |
title_sort | bioinspired analogous nerve towards artificial intelligence |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6959309/ https://www.ncbi.nlm.nih.gov/pubmed/31937777 http://dx.doi.org/10.1038/s41467-019-14214-x |
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