A bioinspired analogous nerve towards artificial intelligence

• DOI: 10.1038/s41467-019-14214-x
• Publication Date: 2020-01-14T11:03:30Z
• Authors: Xinqin Liao; Weitao Song; Xiangyu Zhang; Chaoqun Yan; Tianliang Li; Hongliang Ren; Cunzhi Liu; Yongtian Wang; Yuanjin Zheng
• Keywords: Bionics; 0303 health sciences; Science; Q; Biosensing Techniques; Robotics; 540; Article; 03 medical and health sciences; Nerve Fibers; Touch Perception; Artificial Intelligence; Biomimetic Materials; Touch; Humans; Neural Networks, Computer; Algorithms

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 nerve based on a separate electrical double-layers structure that perception, recognition, The features flexibility, rapid response (<21 ms), high robustness, excellent durability (>10,000 tests), personalized cutability, no energy consumption when mechanical stimulation is being applied. signals are highly regionally differentiated for stimulations, which enables spatiotemporally dynamic logic network. Multifunctional touch interactions demonstrate enormous potential human-machine hybrid perceptual enhancement. By incorporating spatiotemporal resolution function algorithmic analysis, hope nerves will promote further development sophisticated neuroprosthetics intelligent robotics.