Artificial nociceptor with Pt/NbO <i> <sub>x</sub> </i> /Graphene memristive device

Nociceptors, the body's essential alarm system, detect harmful stimuli (mechanical, thermal, chemical) and trigger protective neural responses. Memristive devices offer a powerful platform for emulating such biological functions due to their ion-migration dynamics, which naturally replicate neural threshold behaviors and plasticity. While prior memristive artificial nociceptors have successfully mimicked key characteristics of A-MH I-type nociceptors (threshold activation, relaxation, allodynia, hyperalgesia), the implementation of A-MH II-type responses, such as subthreshold response, rapid active, adaption and fatigue behaviors, remains scarce despite its critical role in realistic biomimetics. Here, we develop a Pt/NbO<i><sub>x</sub></i>/Graphene memristive device-based nociceptor leveraging electron trapping/de-trapping dynamics. This device comprehensively emulates both A-MH I-type features and previously overlooked A-MH II-type properties. The successful dual-type nociceptor emulation demonstrates exceptional potential for constructing high-fidelity biomimetic systems in advanced robotics, prosthetics, and neuromorphic sensing.

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Publication Details

Journal
Nanotechnology
Published
2025-11-11
DOI
https://doi.org/10.1088/1361-6528/ae1dfe
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
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Artificial nociceptor with Pt/NbO x /Graphene memristive device

Zhe Feng, Yunlai Zhu, Zhihao Lin, Zihao Wang et al.
Nanotechnology
Advanced Memory and Neural Computing
article

Artificial nociceptor with Pt/NbO x /Graphene memristive device

Zhe Feng, Yunlai Zhu, Zhihao Lin, Zihao Wang, Zuyu Xu, Jianxun Zou, Yihong Dai, Zuheng Wu, Wenbin Guo, Haochen Wang
article en

Abstract

Nociceptors, the body's essential alarm system, detect harmful stimuli (mechanical, thermal, chemical) and trigger protective neural responses. Memristive devices offer a powerful platform for emulating such biological functions due to their ion-migration dynamics, which naturally replicate neural threshold behaviors and plasticity. While prior memristive artificial nociceptors have successfully mimicked key characteristics of A-MH I-type nociceptors (threshold activation, relaxation, allodynia, hyperalgesia), the implementation of A-MH II-type responses, such as subthreshold response, rapid active, adaption and fatigue behaviors, remains scarce despite its critical role in realistic biomimetics. Here, we develop a Pt/NbO<i><sub>x</sub></i>/Graphene memristive device-based nociceptor leveraging electron trapping/de-trapping dynamics. This device comprehensively emulates both A-MH I-type features and previously overlooked A-MH II-type properties. The successful dual-type nociceptor emulation demonstrates exceptional potential for constructing high-fidelity biomimetic systems in advanced robotics, prosthetics, and neuromorphic sensing.

NanotechnologyVol. 36(47)
Anhui University (CN)
Openalex Percentile: Top 67%
Advanced Memory and Neural Computing
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