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

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

Highlights An optoelectronic memristor with bioinspired neuromorphic behavior was proposed based on Ag/TiO2 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 effective...

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Bibliographic Details
Main Authors: Wenxiao Wang, Yaqi Wang, Feifei Yin, Hongsen Niu, Young-Kee Shin, Yang Li, Eun-Seong Kim, Nam-Young Kim
Format: Article
Language:English
Published: SpringerOpen 2024-02-01
Series:Nano-Micro Letters
Subjects:
Artificial intelligence
Classical conditioning
Neuromorphic computing
Artificial visual memory
Optoelectronic memristors
ZnO Quantum dots
Online Access:https://doi.org/10.1007/s40820-024-01338-z

Internet

https://doi.org/10.1007/s40820-024-01338-z

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