Artificial mechano-nociceptive system based on transparent ITO/AlN/ITO memristor nociceptor neuron

被引:0
作者
Ye, Caiyang [1 ,2 ,3 ]
Xu, Yimeng [1 ,2 ,3 ]
Dai, Ziyi [1 ,2 ,3 ]
Zhu, Zede [4 ]
Li, Chao [5 ,6 ,7 ]
Qian, Kai [1 ,2 ,3 ]
机构
[1] Shandong Univ, Shenzhen Res Inst, Shenzhen 518057, Peoples R China
[2] Shandong Univ, Sch Integrated Circuits, Jinan 250100, Peoples R China
[3] Shandong Univ, Suzhou Res Inst, Suzhou 215123, Peoples R China
[4] Anhui Inst innovat Ind Technol, Hefei 230088, Peoples R China
[5] Shandong Univ, Qilu Hosp, Cheeloo Coll Med, Dept Neurosurg, Jinan 250012, Peoples R China
[6] Shandong Univ, Inst Brain & Brain Inspired Sci, Jinan 250012, Peoples R China
[7] Shandong Key Lab Brain Hlth & Funct Remodeling, Jinan 250012, Peoples R China
基金
中国国家自然科学基金;
关键词
Compendex;
D O I
10.1063/5.0235758
中图分类号
O59 [应用物理学];
学科分类号
摘要
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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页数:7
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