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A bioinspired analogous nerve towards artificial intelligence

  • Xinqin Liao*
  • , Weitao Song
  • , Xiangyu Zhang
  • , Chaoqun Yan
  • , Tianliang Li
  • , Hongliang Ren
  • , Cunzhi Liu
  • , Yongtian Wang
  • , Yuanjin Zheng
  • *Corresponding author for this work
  • Nanyang Technological University
  • Beijing University of Chinese Medicine
  • National University of Singapore
  • Beijing Institute of Technology
  • Beijing Film Academy

Research output: Contribution to journal › Article › peer-review

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 (<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.

Original languageEnglish
Article number268
JournalNature Communications
Volume11
Issue number1
DOIs
Publication statusPublished - 1 Dec 2020
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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