Humidity-induced synaptic plasticity of ZnO artificial synapses using peptide insulator for neuromorphic computing

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

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


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 aspects 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 device 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.

Original languageEnglish
Pages (from-to)150-155
Number of pages6
JournalJournal of Materials Science and Technology
Publication statusPublished - 2022 Aug 20

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2020R1A2C2004864 ).

Publisher Copyright:
© 2022

All Science Journal Classification (ASJC) codes

  • Ceramics and Composites
  • Mechanics of Materials
  • Mechanical Engineering
  • Polymers and Plastics
  • Metals and Alloys
  • Materials Chemistry


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