Neuro-inspired thermoresponsive nociceptor for intelligent sensory systems

被引:32
作者
Shi, Yuanhong [1 ,2 ]
Hua, Qilin [4 ]
Dong, Zilong [1 ,2 ]
Wang, Bingjun [2 ]
Dai, Xinhuan [2 ,3 ]
Niu, Jianan [2 ,3 ]
Cui, Zhaowei [1 ,2 ]
Huang, Tianci [1 ,2 ]
Wang, Zhong Lin [2 ,3 ]
Hu, Weiguo [1 ,2 ,3 ]
机构
[1] Guangxi Univ, Sch Phys Sci & Technol, Ctr Nanoenergy Res, Nanning 530004, Peoples R China
[2] Chinese Acad Sci, Beijing Inst Nanoenergy & Nanosyst, Beijing 101400, Peoples R China
[3] Univ Chinese Acad Sci, Sch Nanosci & Technol, Beijing 100049, Peoples R China
[4] Beijing Inst Technol, Sch Integrated Circuits & Elect, Beijing 100081, Peoples R China
基金
中国国家自然科学基金;
关键词
Bi2Se3; Nociceptor; Memristor; Thermal injury; Sensing; FILMS;
D O I
10.1016/j.nanoen.2023.108549
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Artificial nociceptors with biologically complex sensory functions show intriguing potential in the growing fields of humanoid robotics and intelligent prosthetics. However, conventional artificial sensory systems with sepa-ration of sensors, memory, and processing units pose serious challenges in terms of device integration, efficiency, and power consumption. Here we demonstrate a neuro-inspired artificial electronic receptor prototype based on a bismuth selenide (Bi2Se3) memristor for a highly efficient artificial thermal nociception system. Bi2Se3 ther-moelectric films as functional materials enable the memristor to have in-situ temperature sensing, internal storage, and computing capabilities. Ag/PMMA/Bi2Se3/ITO memristor-based electronic receptors can reproduce the "threshold", "relaxation", and "no adaptation" behaviors of human nociceptors according to the intensity, duration, and repetitions of external stimuli. Further combining this artificial receptor with a robotic manipu-lator can be used to construct an artificial thermal nociception system and successfully demonstrate the nerve reflex action under thermal stimulation. The designed and realized highly efficient artificial nociceptors will enable novel sensing paradigms in biomimetic applications and neuromorphic engineering.
引用
收藏
页数:12
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