Humidity-induced synaptic plasticity of ZnO artificial synapses using peptide insulator for neuromorphic computing
Humidity-induced synaptic plasticity of ZnO artificial synapses using peptide insulator for neuromorphic computing作者机构：School of Integrated TechnologyYonsei UniversityIncheon 21983South Korea Department of Materials Science and EngineeringSeoul National UniversitySeoul 08826South Korea Soft FoundrySeoul National UniversitySeoul 08826South Korea School of Chemical and Biological EngineeringSeoul National UniversitySeoul 08826South Korea
出 版 物：《Journal of Materials Science & Technology》 (材料科学技术（英文版）)
年 卷 期：2022年第119卷第24期
页 面：150-155页
核心收录：
学科分类：12[管理学] 081702[工学-化学工艺] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0817[工学-化学工程与技术] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
主 题：Artificial synapse Neuromorphic computing Oxide semiconductor Proton conductor Artificial neural network
摘 要：Neuromorphic devices inspired by the human brain have attracted significant attention because of their excellent ability for cognitive and parallel *** study presents ZnO-based artificial synapses with peptide insulators for the electrical emulation of biological *** demonstrated the dynamic responses of the device under various environmental *** proton-conducting property of the tyrosine-rich peptide enables time-dependent responses under ambient conditions such that various aspects of synaptic behaviors are emulated by the *** transition from short-term memory to longterm memory is achieved via electrochemical doping of ZnO by ***,we demonstrate an image classification simulation using a multi-layer perceptron model to evaluate the potential of the device for use in neuromorphic *** neural network based on our device achieved a recognition accuracy of 87.47% for the MNIST handwritten digit *** work proposes a novel device platform inspired by biosystems for brain-mimetic hardware systems.
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