Journal of Inorganic Materials, Volume. 38, Issue 4, 399(2023)

Associative Learning with Oxide-based Electrolyte-gated Transistor Synapses

Renrui FANG1...2, Kuan REN1, Zeyu GUO1,2, Han XU1,2, Woyu ZHANG1,2, Fei WANG1,2, Peiwen ZHANG1,2, Yue LI1,2, and Dashan SHANG12,* |Show fewer author(s)
Author Affiliations
  • 11. Key Laboratory of Microelectronic Devices and Integrated Technology, Institute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, China
  • 22. University of Chinese Academy of Sciences, Beijing 100049, China
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    Figures & Tables(5)
    Output characteristic curves under different gate voltages with inset showing the optical pattern (a), transfer characteristic curve (b), gate leakage current curve (c), and working mechanism (d-f) of EGT
    Analogy between EGT and biological synapse (a), EPSC under (3 V, 9 s) pulse (b), PPF stimulated by a pair of gate voltage pulses spaced 0.6 s apart (c), PPF index as a function of pulse interval (d)
    Response of EGT to a series of gate voltage pulses of different pulses amplitude (a), pulses width (b), and pulses frequency (c), dependence of conductance change ratio on pulses amplitude (d) and pulses width (e)Colorful figures are available on website
    Effect of long-term enhanced synaptic weights on neuromorphic computational function
    (a) Schematic diagram of classical conditioning using EGT and (b) corresponding equivalent circuit, and (c) simulation of biological classical conditioning
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    Renrui FANG, Kuan REN, Zeyu GUO, Han XU, Woyu ZHANG, Fei WANG, Peiwen ZHANG, Yue LI, Dashan SHANG. Associative Learning with Oxide-based Electrolyte-gated Transistor Synapses[J]. Journal of Inorganic Materials, 2023, 38(4): 399

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    Paper Information

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    Received: Sep. 4, 2022

    Accepted: --

    Published Online: Oct. 17, 2023

    The Author Email: SHANG Dashan (shangdashan@ime.ac.cn)

    DOI:10.15541/jim20220519

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