A bioinspired analogous nerve towards artificial intelligence

Xinqin Liao (), Weitao Song, Xiangyu Zhang, Chaoqun Yan, Tianliang Li, Hongliang Ren, Cunzhi Liu, Yongtian Wang and Yuanjin Zheng ()
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Xinqin Liao: Nanyang Technological University, 50 Nanyang Avenue
Weitao Song: Nanyang Technological University, 50 Nanyang Avenue
Xiangyu Zhang: Nanyang Technological University, 50 Nanyang Avenue
Chaoqun Yan: Beijing University of Chinese Medicine, Hai Yun Cang on the 5th Zip
Tianliang Li: National University of Singapore
Hongliang Ren: National University of Singapore
Cunzhi Liu: Beijing University of Chinese Medicine, Hai Yun Cang on the 5th Zip
Yongtian Wang: Beijing Engineering Research Centre of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, 5 Zhongguancun South Street
Yuanjin Zheng: Nanyang Technological University, 50 Nanyang Avenue

Nature Communications, 2020, vol. 11, issue 1, 1-9

Abstract: Abstract 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 ( 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.

Date: 2020
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DOI: 10.1038/s41467-019-14214-x

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