Yanran Li, Kai Yin, Yu Diao, Mei Fang, Junliang Yang, Jian Zhang, Hongtao Cao, Xiaoliang Liu, Jie Jiang
Nanoscale 2022 Feb 10Capable of reflecting the location and intensity of external harmful stimuli, a nociceptor network is of great importance for receiving pain-perception information. However, the hardware-based implementation of a nociceptor network through the use of a transistor array remains a great challenge in the area of brain-inspired neuromorphic applications. Herein, a simple ionotronic junctionless oxide transistor array with pain-perception abilities is successfully realized due to a coplanar-gate proton-coupling effect in sodium alginate biopolymer electrolyte. Several important pain-perception characteristics of nociceptors are emulated, such as a pain threshold, the memory of prior injury, and sensitization behavior due to pathway alterations. In particular, a good graded pain-perception network system has been successfully established through coplanar capacitance and resistance. More importantly, clear polarity reversal of Lorentz-type spatiotemporal pain-perception emulation can be finally realized in our projection-dependent nociceptor network. This work may provide new avenues for bionic medical machines and humanoid robots based on these intriguing pain-perception abilities.
Yanran Li, Kai Yin, Yu Diao, Mei Fang, Junliang Yang, Jian Zhang, Hongtao Cao, Xiaoliang Liu, Jie Jiang. A biopolymer-gated ionotronic junctionless oxide transistor array for spatiotemporal pain-perception emulation in nociceptor network. Nanoscale. 2022 Feb 10;14(6):2316-2326
PMID: 35084010
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