Artificial nociceptors demonstrate significant potential in emerging fields such as intelligent prosthetics, humanoid robotics, and electronic skin, capable of transducing external noxious stimuli to the central nervous system. Unlike common sensory neurons, nociceptors exhibit unique characteristics, including “no adaptation,” “relaxation,” “threshold firing,” and “sensitization of allodynia/hyperalgesia.” This study presents a forming-free volatile transparent ITO/AlN/ITO memristor that emulates biological nociceptor behaviors. Leveraging this artificial nociceptor, an artificial mechano-nociceptive system is developed by integrating the ITO/AlN/ITO memristor into a piezoelectric force sensor system for pain sensing and noxious stimuli warning. This research contributes to the advancement of human cognitive capability emulation and artificial intelligence systems, particularly in the domain of pain perception and response.
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18 November 2024
Research Article|
November 18 2024
Artificial mechano-nociceptive system based on transparent ITO/AlN/ITO memristor nociceptor neuron
Caiyang Ye;
Caiyang Ye
(Conceptualization, Formal analysis, Investigation, Writing – original draft, Writing – review & editing)
1
Shenzhen Research Institute of Shandong University
, Shenzhen 518057, China
2
School of Integrated Circuits, Shandong University
, Jinan 250100, China
3
Suzhou Research Institute, Shandong University
, Suzhou 215123, China
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Yimeng Xu;
Yimeng Xu
(Conceptualization, Formal analysis, Investigation, Writing – original draft)
1
Shenzhen Research Institute of Shandong University
, Shenzhen 518057, China
2
School of Integrated Circuits, Shandong University
, Jinan 250100, China
3
Suzhou Research Institute, Shandong University
, Suzhou 215123, China
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Ziyi Dai
;
Ziyi Dai
(Formal analysis, Investigation)
1
Shenzhen Research Institute of Shandong University
, Shenzhen 518057, China
2
School of Integrated Circuits, Shandong University
, Jinan 250100, China
3
Suzhou Research Institute, Shandong University
, Suzhou 215123, China
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Zede Zhu;
Zede Zhu
a)
(Resources, Writing – review & editing)
4
Anhui Institute of innovation for Industrial Technology
, Hefei 230088, China
a)Authors to whom correspondence should be addressed: zhuzd2020@rntek.cas.cn; chaoli@sdu.edu.cn; and kaiqian@sdu.edu.cn
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Chao Li;
Chao Li
a)
(Resources, Writing – review & editing)
5
Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine and Institute of Brain and Brain-Inspired Science, Shandong University
, Jinan 250012, China
6
Shandong Key Laboratory of Brain Health and Function Remodeling
, Jinan 250012, China
a)Authors to whom correspondence should be addressed: zhuzd2020@rntek.cas.cn; chaoli@sdu.edu.cn; and kaiqian@sdu.edu.cn
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Kai Qian
Kai Qian
a)
(Funding acquisition, Resources, Writing – review & editing)
1
Shenzhen Research Institute of Shandong University
, Shenzhen 518057, China
2
School of Integrated Circuits, Shandong University
, Jinan 250100, China
3
Suzhou Research Institute, Shandong University
, Suzhou 215123, China
a)Authors to whom correspondence should be addressed: zhuzd2020@rntek.cas.cn; chaoli@sdu.edu.cn; and kaiqian@sdu.edu.cn
Search for other works by this author on:
a)Authors to whom correspondence should be addressed: zhuzd2020@rntek.cas.cn; chaoli@sdu.edu.cn; and kaiqian@sdu.edu.cn
Appl. Phys. Lett. 125, 213501 (2024)
Article history
Received:
August 29 2024
Accepted:
November 07 2024
Citation
Caiyang Ye, Yimeng Xu, Ziyi Dai, Zede Zhu, Chao Li, Kai Qian; Artificial mechano-nociceptive system based on transparent ITO/AlN/ITO memristor nociceptor neuron. Appl. Phys. Lett. 18 November 2024; 125 (21): 213501. https://doi.org/10.1063/5.0235758
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