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A bioinspired analogous nerve towards artificial intelligence

Author

Listed:
  • 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
    AICFVE of Beijing Film Academy)

  • Yuanjin Zheng

    (Nanyang Technological University, 50 Nanyang Avenue)

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.

Suggested Citation

  • Xinqin Liao & Weitao Song & Xiangyu Zhang & Chaoqun Yan & Tianliang Li & Hongliang Ren & Cunzhi Liu & Yongtian Wang & Yuanjin Zheng, 2020. "A bioinspired analogous nerve towards artificial intelligence," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-019-14214-x
    DOI: 10.1038/s41467-019-14214-x
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    Cited by:

    1. Bingyan Han, 2022. "Can maker-taker fees prevent algorithmic cooperation in market making?," Papers 2211.00496, arXiv.org.
    2. Plantinga, Paul, 2022. "Digital discretion and public administration in Africa: Implications for the use of artificial intelligence," SocArXiv 2r98w, Center for Open Science.
    3. Shailendra Kumar & Sanghamitra Choudhury, 2022. "Gender and feminist considerations in artificial intelligence from a developing-world perspective, with India as a case study," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-9, December.
    4. Juan Carlos Henao & Liliana López-Jiménez, 2021. "Disrupción tecnológica, transformación digital y sociedad. Tomo IV, Aires de revolución : nuevos desafíos tecnológicos a las instituciones económicas, financieras y organizacionales de nuestros tiempo," Books, Universidad Externado de Colombia, Facultad de Derecho, number 1283.

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