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Bionic modeling and neurocomputing of synaptic transistor based on egg white as gate dielectric

  • Liqiang Guo,
  • Wenlong Li,
  • Qian Dong,
  • Chang Liu,
  • Guanggui Cheng,
  • Yanhua Ding,
  • Jin Wu

摘要

Synaptic transistors are considered to hold great potential as electronic devices for constructing brain-inspired neuromorphic cognitive systems. Synaptic transistors made of degradable and environmentally friendly materials are a common concern among researchers today. Egg whites are rich in sources and contain abundant hydrophilic functional groups, including –NH and –OH groups, which can facilitate the movement of protons. In this paper, a synaptic transistor using egg white as the gate dielectric for biomimetic simulation and neuromorphic computing is prepared. The fabricated synaptic transistor successfully simulates typical biological synaptic behaviors, such as excitatory postsynaptic current and double-pulse facilitation, and effectively models the transition from short-term memory to long-term memory. Furthermore, based on the long-term memory and conductance linearity of egg-white gated synaptic transistors, it completes the neuromorphic computation for handwritten digit recognition in neural networks, indicating that egg-white gated synaptic transistors have great potential for application in “green” neural-form electronic devices.