Synaptic transistors based on a tyrosine-rich peptide for neuromorphic computing

被引:3
|
作者
Song, Min-Kyu [1 ]
Song, Young-Woong [1 ]
Sung, Taehoon [1 ]
Namgung, Seok Daniel [2 ,4 ]
Yoon, Jeong Hyun [1 ]
Lee, Yoon-Sik [3 ]
Nam, Ki Tae [2 ,4 ]
Kwon, Jang-Yeon [1 ]
机构
[1] Yonsei Univ, Sch Integrated Technol, Incheon 21983, South Korea
[2] Seoul Natl Univ, Dept Mat Sci & Engn, Seoul 08826, South Korea
[3] Seoul Natl Univ, Sch Chem & Biol Engn, Seoul 08826, South Korea
[4] Seoul Natl Univ, Soft Foundry, Seoul 08826, South Korea
基金
新加坡国家研究基金会;
关键词
PROTON; NETWORK;
D O I
10.1039/d1ra06492d
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
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.
引用
收藏
页码:39619 / 39624
页数:6
相关论文
共 50 条
  • [1] Fully Degradable Memristors and Humidity Sensors Based on a Tyrosine-Rich Peptide
    Song, Min-Kyu
    Namgung, Seok Daniel
    Song, Young-Woong
    Sung, Taehoon
    Ji, Wonjae
    Lee, Yoon-Sik
    Nam, Ki Tae
    Kwon, Jang-Yeon
    ACS APPLIED ELECTRONIC MATERIALS, 2021, 3 (08) : 3372 - 3378
  • [2] Organic Synaptic Transistors Based on a Hybrid Trapping Layer for Neuromorphic Computing
    Lan, Shuqiong
    Wang, Xiaoyan
    Yu, Rengjian
    Zhou, Changjie
    Wang, Minshuai
    Cai, Xiaomei
    IEEE ELECTRON DEVICE LETTERS, 2022, 43 (08) : 1255 - 1258
  • [3] High-performance synaptic transistors for neuromorphic computing
    Zhong, Hai
    Sun, Qin-Chao
    Li, Guo
    Du, Jian-Yu
    Huang, He-Yi
    Guo, Er-Jia
    He, Meng
    Wang, Can
    Yang, Guo-Zhen
    Ge, Chen
    Jin, Kui-Juan
    CHINESE PHYSICS B, 2020, 29 (04)
  • [4] Polymer synaptic transistors from memory to neuromorphic computing
    Yang, Yu-Ting
    Tien, Hsin-Chiao
    Chueh, Chu-Chen
    Lee, Wen-Ya
    MATERIALS CHEMISTRY AND PHYSICS, 2022, 287
  • [5] High-performance synaptic transistors for neuromorphic computing
    钟海
    孙勤超
    李果
    杜剑宇
    黄河意
    郭尔佳
    何萌
    王灿
    杨国桢
    葛琛
    金奎娟
    Chinese Physics B, 2020, (04) : 4 - 17
  • [6] Carbon Nanotube-Based Flexible Ferroelectric Synaptic Transistors for Neuromorphic Computing
    Xia, Fan
    Xia, Tian
    Xiang, Li
    Ding, Sujuan
    Li, Shuo
    Yin, Yucheng
    Xi, Meiqi
    Jin, Chuanhong
    Liang, Xuelei
    Hu, Youfan
    ACS APPLIED MATERIALS & INTERFACES, 2022, : 30124 - 30132
  • [7] Tyrosine-Rich Peptide Insulator for Rapidly Dissolving Transient Electronics
    Namgung, Seok Daniel
    Song, Min-Kyu
    Sung, Taehoon
    Cho, Ouk Hyun
    Ju, Misong
    Kim, Hyeohn
    Lee, Yoon-Sik
    Nam, Ki Tae
    Kwon, Jang-Yeon
    ADVANCED MATERIALS TECHNOLOGIES, 2020, 5 (09)
  • [8] IGZO-based floating-gate synaptic transistors for neuromorphic computing
    He, Yongli
    Liu, Rui
    Jiang, Shanshan
    Chen, Chunsheng
    Zhu, Li
    Shi, Yi
    Wan, Qing
    JOURNAL OF PHYSICS D-APPLIED PHYSICS, 2020, 53 (21)
  • [9] High-temperature-resistant synaptic transistors for neuromorphic computing
    Liu, Xiao
    Chu, Liang
    Yan, Wensheng
    Pi, Xiaodong
    CELL REPORTS PHYSICAL SCIENCE, 2024, 5 (07):
  • [10] TYROSINE-RICH PROTEINS IN KERATINS
    FRASER, RDB
    GILLESPIE, JM
    MACRAE, TP
    COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY, 1973, 44 (3B): : 943 - 947