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Synaptic transistors based on a tyrosine-rich peptide for neuromorphic computing.
Song, Min-Kyu; Song, Young-Woong; Sung, Taehoon; Namgung, Seok Daniel; Yoon, Jeong Hyun; Lee, Yoon-Sik; Nam, Ki Tae; Kwon, Jang-Yeon.
Afiliação
  • Song MK; School of Integrated Technology, Yonsei University Incheon 21983 Republic of Korea jangyeon@yonsei.ac.kr.
  • Song YW; School of Integrated Technology, Yonsei University Incheon 21983 Republic of Korea jangyeon@yonsei.ac.kr.
  • Sung T; School of Integrated Technology, Yonsei University Incheon 21983 Republic of Korea jangyeon@yonsei.ac.kr.
  • Namgung SD; Department of Materials Science and Engineering, Seoul National University Seoul 08826 Republic of Korea.
  • Yoon JH; Soft Foundry, Seoul National University Seoul 08826 Republic of Korea.
  • Lee YS; School of Integrated Technology, Yonsei University Incheon 21983 Republic of Korea jangyeon@yonsei.ac.kr.
  • Nam KT; School of Chemical and Biological Engineering, Seoul National University Seoul 08826 Republic of Korea.
  • Kwon JY; Department of Materials Science and Engineering, Seoul National University Seoul 08826 Republic of Korea.
RSC Adv ; 11(63): 39619-39624, 2021 Dec 13.
Article em En | MEDLINE | ID: mdl-35494131
ABSTRACT
In this article, we propose an artificial synaptic device based on a proton-conducting peptide material. By using the redox-active property of tyrosine, the Tyr-Tyr-Ala-Cys-Ala-Tyr-Tyr peptide film was utilized as a gate insulator that shows synaptic plasticity owing to the formation of proton electric double layers. The ion gating effects on the transfer characteristics and temporal current responses are shown. Further, timing-dependent responses, including paired-pulse facilitation, synaptic potentiation, and transition from short-term plasticity to long-term plasticity, have been demonstrated for the electrical emulation of biological synapses in the human brain. Herein, we provide a novel material platform that is bio-inspired and biocompatible for use in brain-mimetic electronic devices.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article