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A Skin-Inspired Artificial Mechanoreceptor for Tactile Enhancement and Integration

Authors :
Xiaohua Ma
Dingwei Li
Huihui Ren
Kun Liang
Momo Zhao
Yue Hao
Bowen Zhu
Saisai Wang
Hong Wang
Fanfan Li
Chunyan Song
Rui Wang
Source :
ACS Nano. 15:16422-16431
Publication Year :
2021
Publisher :
American Chemical Society (ACS), 2021.

Abstract

Mechanoreceptors endow humans with the sense of touch by translating the external stimuli into coded spikes, inspiring the rise of artificial mechanoreceptor systems. However, to incorporate slow adaptive receptors-like pressure sensors with artificial neurons remains a challenge. Here we demonstrate an artificial mechanoreceptor by rationally integrating a polypyrrole-based resistive pressure sensor with a volatile NbOx memristor, to mimic the tactile sensation and perception in natural skin, respectively. The artificial mechanoreceptor enables the tactile sensory coding by converting the external mechanical stimuli into strength-modulated electrical spikes. Also, tactile sensation enhancement is achieved by processing the spike frequency characteristics with the pulse coupled neural network. Furthermore, the artificial mechanoreceptor can integrate signals from parallel sensor channels and encode them into unified electrical spikes, resembling the coding of intensity in tactile neural processing. These results provide simple and efficient strategies for constructing future bio-inspired electronic systems.

Details

ISSN :
1936086X and 19360851
Volume :
15
Database :
OpenAIRE
Journal :
ACS Nano
Accession number :
edsair.doi.dedup.....aaa14ec9ff202172302e4407d860de3d