A Biomimetic Nociceptor Based on a Vertical Multigate, Multichannel Neuromorphic Transistor

Nociceptors, crucial sensory receptors within biological systems, are essential for survival in diverse and potentially hazardous environments. Efforts to replicate nociceptors through advanced electronic devices, such as memristors and neuromorphic transistors, have achieved limited success, capturing basic nociceptive functions while more advanced characteristics like various forms of central sensitization and analgesic effect remain out of reach. Here, we introduce a vertical multigate, multichannel electrolyte-gated transistor (Vm-EGT), designed to mimic nociceptors. Utilizing the hybrid mechanism combining electric-double-layer (EDL) with ion intercalation/deintercalation in EGTs, our approach successfully replicates peripheral sensitization and desensitization characteristics of nociceptors. The intricate multigate and multichannel design of the Vm-EGT enables the emulation of more advanced nociceptive functionalities, including central sensitization and analgesic effect. Furthermore, we demonstrate that by exploiting the inherent current-voltage relationship, the Vm-EGT can simulate these advanced nociceptive features and seamlessly transition between them. Integrating a Vm-EGT with a thermistor and a heating plate, we have developed an artificial thermal nociceptor that closely mirrors the sensory attributes of its biological counterpart. Our approach significantly advances the emulation of nociceptors, providing a basis for the development of sophisticated artificial sensory systems and intelligent robotics.

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Publication Details

Journal
ACS Nano
Published
2024-10-27
DOI
https://doi.org/10.1021/acsnano.4c09632
Citations
4
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.83

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article

A Biomimetic Nociceptor Based on a Vertical Multigate, Multichannel Neuromorphic Transistor

Dashan Shang, Jianshi Tang, Bin Gao, Huaqiang Wu et al.
4 citations
ACS Nano
Advanced Memory and Neural Computing
0.83
article

A Biomimetic Nociceptor Based on a Vertical Multigate, Multichannel Neuromorphic Transistor

Dashan Shang, Jianshi Tang, Bin Gao, Huaqiang Wu, Xiaoxin Xu, Renrong Liang, Qi Liu, Ming Liu, Qing Luo, He Qian, Qi Wang, Liyang Pan, Han Xu, Deyan He
article en
4 citations

Abstract

Nociceptors, crucial sensory receptors within biological systems, are essential for survival in diverse and potentially hazardous environments. Efforts to replicate nociceptors through advanced electronic devices, such as memristors and neuromorphic transistors, have achieved limited success, capturing basic nociceptive functions while more advanced characteristics like various forms of central sensitization and analgesic effect remain out of reach. Here, we introduce a vertical multigate, multichannel electrolyte-gated transistor (Vm-EGT), designed to mimic nociceptors. Utilizing the hybrid mechanism combining electric-double-layer (EDL) with ion intercalation/deintercalation in EGTs, our approach successfully replicates peripheral sensitization and desensitization characteristics of nociceptors. The intricate multigate and multichannel design of the Vm-EGT enables the emulation of more advanced nociceptive functionalities, including central sensitization and analgesic effect. Furthermore, we demonstrate that by exploiting the inherent current-voltage relationship, the Vm-EGT can simulate these advanced nociceptive features and seamlessly transition between them. Integrating a Vm-EGT with a thermistor and a heating plate, we have developed an artificial thermal nociceptor that closely mirrors the sensory attributes of its biological counterpart. Our approach significantly advances the emulation of nociceptors, providing a basis for the development of sophisticated artificial sensory systems and intelligent robotics.

ACS NanoVol. 18(44)
Chinese Academy of Sciences (CN), Fudan University (CN), Center for Information Technology (US), Frontier Science Foundation (CH), University of Chinese Academy of Sciences (CN), Lanzhou University (CN), Tsinghua University (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences, China Postdoctoral Science Foundation, Fudan University, Tsinghua University, University of Chinese Academy of Sciences, Beijing National Research Center For Information Science And Technology, Institute of Microelectronics of the Chinese Academy of Sciences
Affordable and clean energy
Openalex Percentile: Top 26%
Advanced Memory and Neural Computing
0.83
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