• 文献标题:   Flexible artificial synapse with relearning function based on ion gel-graphene FET
  • 文献类型:   Article
  • 作  者:   FENG D, NIU ZH, YANG JY, XU W, LIU SS, MAO X, LI XH
  • 作者关键词:   flexible artificial synapse, relearning function, ion gel, graphene
  • 出版物名称:   NANO ENERGY
  • ISSN:   2211-2855 EI 2211-3282
  • 通讯作者地址:  
  • 被引频次:   13
  • DOI:   10.1016/j.nanoen.2021.106526 EA SEP 2021
  • 出版年:   2021

▎ 摘  要

Due to its high-speed parallel processing, the human brain is superior to the von Neumann system computer in processing images, speech and perception. This paper proposes a flexible artificial synaptic device fabricated on graphene field effect transistors with ion gel. The channel with 100 mu m is fabricated on a flexible substrate, and the weights of nerve synapses are adjusted by ion movement in the ion gel. The artificial synapse successfully mimics synaptic functions under low drain voltage (3 mV), such as excitatory postsynaptic current, inhibition postsynaptic current, paired-pulse facilitation and long-term plasticity with microampere current, and artificial synapse has a function similar to human forgetting and relearning. In order to integrate artificial synapse device with other circuits, the equivalent circuit of the artificial synapse simulates the plasticity of the synapse in this paper. These provide a new basis for the simulation and production of flexible artificial synapse, and the excellent long-term plasticity characteristics have huge application potential in memory functions.