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An Artificial Thermal Nociceptor Based on Xanthan Gum‐Gated Synaptic Transistors to Emulate Human Thermal Nociception

Authors :
Fang Zhou Li
Hong Rui Liu
Jian Miao Guo
Xin Yi Zhou
Ke Kang Liu
Lin Zi Liang
Xin Yi Pei
Fei Chi Zhou
Feng Huang
Hong Wang
Yang Hui Liu
Source :
Advanced Intelligent Systems, Vol 4, Iss 12, Pp n/a-n/a (2022)
Publication Year :
2022
Publisher :
Wiley, 2022.

Abstract

Nociceptors are kinds of sensory neurons that send warning information to the central nervous system in response to noxious stimuli. Thermal nociception happens as the thermal stimulus exceeds 45 °C as this temperature is perceived to be potentially harmful. Simulating this function is of great significance to developing bioinspired electronic skins and humanoid robots, which thus creates more demands for electronic devices that can simulate thermal nociception. Herein, an artificial thermal nociceptor (ATN) is fabricated by integrating a temperature sensor and a synaptic transistor, which can simulate the thermal pain threshold of the human body and operates in a very similar way as the transient receptor potential vanilloid 1 (TRPV1). For this ATN, the function of temperature sensing is realized by a graphite–polydimethylsiloxane (Gr–PDMS) composite temperature sensor, and the synaptic functions, as well as nociceptor features, are emulated through a synaptic transistor using xanthan gum polysaccharide electrolyte as gate dielectric, providing energy‐efficient building blocks for brain‐inspired computation systems. In a word, the ATN proposed can help to open a new avenue and provides more possibilities in the design of artificial sensory systems with the functions of temperature perception and thermal feedback.

Details

Language :
English
ISSN :
26404567
Volume :
4
Issue :
12
Database :
Directory of Open Access Journals
Journal :
Advanced Intelligent Systems
Publication Type :
Academic Journal
Accession number :
edsdoj.5009f467c841979e7bf5f971fc23b0
Document Type :
article
Full Text :
https://doi.org/10.1002/aisy.202200233