An artificial nociceptor based on a diffusive memristor

Jung Ho Yoon, Zhongrui Wang, Kyung Min Kim, Huaqiang Wu, Vignesh Ravichandran, Qiangfei Xia (), Cheol Seong Hwang and J. Joshua Yang ()
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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

Nature Communications, 2018, vol. 9, issue 1, 1-9

Abstract: 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.

Date: 2018
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DOI: 10.1038/s41467-017-02572-3

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