Engineering and Technology

An artificial spiking afferent nerve based on Mott memristors for neurorobotics

X. Zhang, Y. Zhuo, et al.

Explore groundbreaking research by authors Xumeng Zhang, Ye Zhuo, Qing Luo, Zuheng Wu, Rivu Midya, Zhongrui Wang, Wenhao Song, Rui Wang, Navnidhi K. Upadhyay, Yilin Fang, Fatemeh Kiani, Mingyi Rao, Yang Yang, Qiangfei Xia, Qi Liu, Ming Liu, and J. Joshua Yang. This paper introduces an artificial spiking afferent nerve (ASAN) that adapts its spiking frequency in response to stimuli intensity, showcasing potential for self-aware neurorobotics.

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Abstract

This paper proposes and experimentally demonstrates an artificial spiking afferent nerve (ASAN) based on highly reliable NbOx Mott memristors. The spiking frequency of the ASAN is proportional to the stimuli intensity before encountering noxiously high stimuli, after which it reduces the spiking frequency. Using this ASAN, a power-free spiking mechanoreceptor system is built with a passive piezoelectric device as the tactile sensor. Experimental results suggest the ASAN is promising for self-aware neurorobotics.

Publisher

Nature Communications

Published On

Jan 02, 2020

Authors

Xumeng Zhang, Ye Zhuo, Qing Luo, Zuheng Wu, Rivu Midya, Zhongrui Wang, Wenhao Song, Rui Wang, Navnidhi K. Upadhyay, Yilin Fang, Fatemeh Kiani, Mingyi Rao, Yang Yang, Qiangfei Xia, Qi Liu, Ming Liu, J. Joshua Yang

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