Neuromorphic devices inspired by the human brain have attracted significant attention because of their excellent ability for cognitive and parallel computing.This study presents ZnO-based artificial synapses with peptide insulators for the electrical emulation of biological synapses.We demonstrated the dynamic responses of the device under various environmental conditions.The proton-conducting property of the tyrosine-rich peptide enables time-dependent responses under ambient conditions such that various as-pects of synaptic behaviors are emulated by the devices.The transition from short-term memory to long-term memory is achieved via electrochemical doping of ZnO by protons.Furthermore,we demonstrate an image classification simulation using a multi-layer perceptron model to evaluate the potential of the de-vice for use in neuromorphic computing.The neural network based on our device achieved a recognition accuracy of 87.47％for the MNIST handwritten digit images.This work proposes a novel device platform inspired by biosystems for brain-mimetic hardware systems.

Min-Kyu Song;Hojung Lee;Jeong Hyun Yoon;Young-Woong Song;Seok Daniel Namgung;Taehoon Sung;Yoon-Sik Lee;Jong-Seok Lee;Ki Tae Nam;Jang-Yeon Kwon

School of Integrated Technology,Yonsei University,Incheon 21983,South Korea;Department of Materials Science and Engineering,Seoul National University,Seoul 08826,South Korea;Soft Foundry,Seoul National University,Seoul 08826,South Korea;School of Chemical and Biological Engineering,Seoul National University,Seoul 08826,South Korea

材料科学技术（英文版）

[1]Min-Kyu Song;Hojung Lee;Jeong Hyun Yoon;Young-Woong Song;Seok Daniel Namgung;Taehoon Sung;Yoon-Sik Lee;Jong-Seok Lee;Ki Tae Nam;Jang-Yeon Kwon-.Humidity-induced synaptic plasticity of ZnO artificial synapses using peptide insulator for neuromorphic computing)[J].材料科学技术（英文版）,2022(24):150-155

biosystems

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