Synaptic behaviors of electromigrated Au nanogaps

被引:6
|
作者
Sakai, Keita [1 ]
Sato, Tomomi [1 ]
Tani, Soki [1 ]
Ito, Mitsuki [1 ]
Yagi, Mamiko [2 ]
Shirakashi, Jun-ichi [1 ]
机构
[1] Tokyo Univ Agr & Technol, Dept Elect & Elect Engn, Koganei, Tokyo 1848588, Japan
[2] Natl Inst Technol, Dept Engn Future Innovat, Ichinoseki Coll, Ichinoseki, Iwate 0218511, Japan
来源
AIP ADVANCES | 2019年 / 9卷 / 05期
基金
日本学术振兴会;
关键词
LONG-TERM POTENTIATION; TUNNEL RESISTANCE; PLASTICITY; MEMORY;
D O I
10.1063/1.5096817
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Artificial electronic synapses or synaptic devices, which are capable of mimicking the functions of biological synapses in the human brain, are considered the basic building blocks for brain-inspired computing. Therefore, we investigated the emulation of synaptic functions in a simple Au nanogap. The synaptic functionality of neuromorphic hardware originates from a gradually modulated resistance. Previously, we investigated simple electromigration-based methods for controlling the tunnel resistance of nanogaps, called activation. In this study, a new type of artificial synaptic device based on planar Au nanogaps is demonstrated using a newly investigated activation procedure with voltage pulses. In the activation method with specific voltage pulses, the change in tunnel resistance of the Au nanogaps can be gradually controlled depending on the interval and amplitude of input voltage pulses. Moreover, Au inorganic synapses can emulate the synaptic functions of both short-term plasticity (STP) and long-term plasticity (LTP) characteristics. After the applied pulse is removed, the current decays rapidly at the beginning, followed by a gradual fade to a stable level. In addition, with repeated stimulations, the forgetting rate becomes decreases and the memory retention increases. Therefore, we observe an effect analogous to a memory transition from STP to LTP in biological systems. Our results may contribute to the development of highly functional artificial synapses and the further construction of neuromorphic computing architecture. (c) 2019 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页数:5
相关论文
共 50 条
  • [41] Highly Dense and Accessible Nanogaps in Au-Ag Alloy Patterned Nanostructures for Surface-Enhanced Raman Spectroscopy Analysis
    Lee, Taeksu
    Kwon, Soongeun
    Lee, Jae-Jong
    ACS APPLIED NANO MATERIALS, 2020, 3 (06): : 5920 - 5927
  • [42] Emulation of synaptic behaviors using amorphous indium-gallium-zinc-oxide-based photoelectric synaptic devices
    Lee, Minkyung
    Song, Seungho
    Kim, Yong-Hoon
    JAPANESE JOURNAL OF APPLIED PHYSICS, 2019, 58 (09)
  • [43] Bi-phasic Effects of Stress on Synaptic Physiology and Cognitive Behaviors
    Yan, Zhen
    INTERNATIONAL JOURNAL OF NEUROPSYCHOPHARMACOLOGY, 2016, 19 : 37 - 38
  • [44] Synaptic behaviors of a single metal-oxide-metal resistive device
    Choi, Sang-Jun
    Kim, Guk-Bae
    Lee, Kyoobin
    Kim, Ki-Hong
    Yang, Woo-Young
    Cho, Soohaeng
    Bae, Hyung-Jin
    Seo, Dong-Seok
    Kim, Sang-Il
    Lee, Kyung-Jin
    APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING, 2011, 102 (04): : 1019 - 1025
  • [45] Realization of Storage and Synaptic Simulation Behaviors Based on Different Forming Modes
    Ma, Guokun
    He, Yuli
    Liu, Chunlei
    Wang, Hao
    Tseng, Yi-Ting
    Chang, Ting-Chang
    IEEE ELECTRON DEVICE LETTERS, 2019, 40 (08) : 1257 - 1260
  • [46] Effects of prenatal opioid exposure on synaptic adaptations and behaviors across development
    Simmons, Sarah C.
    Grecco, Greg G.
    Atwood, Brady K.
    Nugent, Fereshteh S.
    NEUROPHARMACOLOGY, 2023, 222
  • [47] Synaptic and circuitry mechanisms of obsessive compulsive-like behaviors in mice
    Welch, J. M.
    Lu, J.
    Rodriguiz, R. M.
    Trotta, N. C.
    Peca, J.
    Ding, J-D.
    Feliciano, C.
    Chen, M.
    Adams, J. Paige
    Luo, J.
    Dudek, S. M.
    Weinberg, R. J.
    Calakos, N.
    Wetsel, W. C.
    Feng, G.
    INTERNATIONAL JOURNAL OF DEVELOPMENTAL NEUROSCIENCE, 2008, 26 (08) : 835 - 835
  • [48] Mimicking the competitive and cooperative behaviors with multi-terminal synaptic memtransistors
    Zheng, Chaoyue
    Liao, Yuan
    Xiong, Ziyu
    Zhou, Ye
    Han, Su-Ting
    JOURNAL OF MATERIALS CHEMISTRY C, 2020, 8 (18) : 6063 - 6071
  • [49] Multilevel resistive switching and synaptic behaviors in MnO-based memristor
    Ai, Ruibo
    Zhang, Tao
    Guo, Huijie
    Luo, Wang
    Liu, Xiaojun
    CURRENT APPLIED PHYSICS, 2022, 41 : 123 - 130
  • [50] Synaptic behaviors of HfO2 ReRAM by pulse frequency modulation
    Lee, Dong Keun
    Kim, Min-Hwi
    Kim, Tae-Hyeon
    Bang, Suhyun
    Choi, Yeon-Joon
    Kim, Sungjun
    Cho, Seongjae
    Park, Byung-Gook
    SOLID-STATE ELECTRONICS, 2019, 154 : 31 - 35