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Tailoring Classical Conditioning Behavior in TiO2 Nanowires: ZnO QDs-Based Optoelectronic Memristors for Neuromorphic Hardware

Journal 2024 · IF 31.6 · 16(1): 1-16 · 发表于 2024 年 2 月 27 日
作者: Wang Wenxiao,Wang Yaqi,Yin Feifei,Niu Hongsen,Shin Young-Kee,Li Yang,Kim Eun-Seong,Kim Nam-Young
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摘要

An optoelectronic memristor with bioinspired neuromorphic behavior was proposed based on Ag/TiO 2 Nanowires: ZnO QDs/FTO. The proposed device establishes superior long/short-term synaptic plasticity in response to electrical and light stimuli, and a neuromorphic computing task is effectively implemented based on its optoelectronic performance. The device emulated complex biological associative learning behaviors, including the four features of acquisition, extinction, restoration, and generalization.