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An artificial nociceptor based on a diffusive memristor

Author

Listed:
  • Jung Ho Yoon

    (University of Massachusetts)

  • Zhongrui Wang

    (University of Massachusetts)

  • Kyung Min Kim

    (Hewlett Packard Labs)

  • Huaqiang Wu

    (Tsinghua University)

  • Vignesh Ravichandran

    (University of Massachusetts)

  • Qiangfei Xia

    (University of Massachusetts)

  • Cheol Seong Hwang

    (Seoul National University)

  • J. Joshua Yang

    (University of Massachusetts)

Abstract

A nociceptor is a critical and special receptor of a sensory neuron that is able to detect noxious stimulus and provide a rapid warning to the central nervous system to start the motor response in the human body and humanoid robotics. It differs from other common sensory receptors with its key features and functions, including the “no adaptation” and “sensitization” phenomena. In this study, we propose and experimentally demonstrate an artificial nociceptor based on a diffusive memristor with critical dynamics for the first time. Using this artificial nociceptor, we further built an artificial sensory alarm system to experimentally demonstrate the feasibility and simplicity of integrating such novel artificial nociceptor devices in artificial intelligence systems, such as humanoid robots.

Suggested Citation

  • Jung Ho Yoon & Zhongrui Wang & Kyung Min Kim & Huaqiang Wu & Vignesh Ravichandran & Qiangfei Xia & Cheol Seong Hwang & J. Joshua Yang, 2018. "An artificial nociceptor based on a diffusive memristor," Nature Communications, Nature, vol. 9(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-017-02572-3
    DOI: 10.1038/s41467-017-02572-3
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    Cited by:

    1. Shengbo Wang & Shuo Gao & Chenyu Tang & Edoardo Occhipinti & Cong Li & Shurui Wang & Jiaqi Wang & Hubin Zhao & Guohua Hu & Arokia Nathan & Ravinder Dahiya & Luigi Giuseppe Occhipinti, 2024. "Memristor-based adaptive neuromorphic perception in unstructured environments," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    2. Kyung Seok Woo & Janguk Han & Su-in Yi & Luke Thomas & Hyungjun Park & Suhas Kumar & Cheol Seong Hwang, 2024. "Tunable stochastic memristors for energy-efficient encryption and computing," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    3. Rui Yuan & Qingxi Duan & Pek Jun Tiw & Ge Li & Zhuojian Xiao & Zhaokun Jing & Ke Yang & Chang Liu & Chen Ge & Ru Huang & Yuchao Yang, 2022. "A calibratable sensory neuron based on epitaxial VO2 for spike-based neuromorphic multisensory system," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    4. Ke Yang & Yanghao Wang & Pek Jun Tiw & Chaoming Wang & Xiaolong Zou & Rui Yuan & Chang Liu & Ge Li & Chen Ge & Si Wu & Teng Zhang & Ru Huang & Yuchao Yang, 2024. "High-order sensory processing nanocircuit based on coupled VO2 oscillators," Nature Communications, Nature, vol. 15(1), pages 1-12, December.

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