Memory and learning behaviors mimicked in nanogranular SiO2-based proton conductor gated oxide-based synaptic transistors

被引:73
作者
Wan, Chang Jin [1 ,2 ]
Zhu, Li Qiang [1 ]
Zhou, Ju Mei [1 ]
Shi, Yi [2 ]
Wan, Qing [1 ,2 ]
机构
[1] Chinese Acad Sci, Ningbo Inst Mat Technol & Engn, Ningbo 315201, Zhejiang, Peoples R China
[2] Nanjing Univ, Sch Elect Sci & Engn, Nanjing 210093, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
PLASTICITY; DEVICE; NEUROSCIENCE; STRENGTH; HYDROGEN; STORAGE; LOGIC; FILM;
D O I
10.1039/c3nr02987e
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
In neuroscience, signal processing, memory and learning function are established in the brain by modifying ionic fluxes in neurons and synapses. Emulation of memory and learning behaviors of biological systems by nanoscale ionic/electronic devices is highly desirable for building neuromorphic systems or even artificial neural networks. Here, novel artificial synapses based on junctionless oxide-based protonic/electronic hybrid transistors gated by nanogranular phosphorus-doped SiO2-based proton-conducting films are fabricated on glass substrates by a room-temperature process. Short-term memory (STM) and long-term memory (LTM) are mimicked by tuning the pulse gate voltage amplitude. The LTM process in such an artificial synapse is due to the proton-related interfacial electrochemical reaction. Our results are highly desirable for building future neuromorphic systems or even artificial networks via electronic elements.
引用
收藏
页码:10194 / 10199
页数:6
相关论文
共 41 条
  • [1] [Anonymous], 1985, VOLUNTARY MOVEMENT
  • [2] [Anonymous], 1949, ORG BEHAV NEUROPHYSI
  • [3] Atkinson R.C., 1977, PSYCHOL LEARNING MOT, P7, DOI [10.1016/B978-0-12-121050-2.50006-5, DOI 10.1016/S0079-7421(08)60422-3, 10.1016/S0079-7421(08)60422-3]
  • [4] Synaptic modifications in cultured hippocampal neurons: Dependence on spike timing, synaptic strength, and postsynaptic cell type
    Bi, GQ
    Poo, MM
    [J]. JOURNAL OF NEUROSCIENCE, 1998, 18 (24) : 10464 - 10472
  • [5] Development and regulation of dendritic spine synapses
    Calabrese, B
    Wilson, MS
    Halpain, S
    [J]. PHYSIOLOGY, 2006, 21 : 38 - 47
  • [6] Adaptive polymeric system for Hebbian-type learning
    Camorani, Paolo
    Berzina, Tatiana
    Erokhin, Victor
    Fontana, M. P.
    [J]. PHILOSOPHICAL MAGAZINE, 2011, 91 (13-15) : 2021 - 2027
  • [7] Short-Term Memory to Long-Term Memory Transition in a Nanoscale Memristor
    Chang, Ting
    Jo, Sung-Hyun
    Lu, Wei
    [J]. ACS NANO, 2011, 5 (09) : 7669 - 7676
  • [8] Colinge JP, 2010, NAT NANOTECHNOL, V5, P225, DOI [10.1038/nnano.2010.15, 10.1038/NNANO.2010.15]
  • [9] Flexible Dual-Gate Oxide TFTs Gated by Chitosan Film on Paper Substrates
    Dou, Wei
    Zhu, Liqiang
    Jiang, Jie
    Wan, Qing
    [J]. IEEE ELECTRON DEVICE LETTERS, 2013, 34 (02) : 259 - 261
  • [10] Do we have brain to spare?
    Drachman, DA
    [J]. NEUROLOGY, 2005, 64 (12) : 2004 - 2005