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Flexible artificial synapse with relearning function based on ion gel-graphene FET
Nano Energy ( IF 16.8 ) Pub Date : 2021-09-21 , DOI: 10.1016/j.nanoen.2021.106526
Di Feng 1 , Zihao Niu 1 , Jiayi Yang 1 , Wei Xu 1 , Shuangshuang Liu 1 , Xu Mao 2 , Xiuhan Li 1
Affiliation  

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 µm 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.



中文翻译:

基于离子凝胶-石墨烯FET的具有再学习功能的柔性人工突触

由于其高速并行处理,人脑在处理图像、语音和感知方面优于冯诺依曼系统计算机。本文提出了一种在带有离子凝胶的石墨烯场效应晶体管上制造的柔性人工突触装置。100 µm 的通道是在柔性基板上制造的,神经突触的权重通过离子凝胶中的离子运动进行调整。人工突触成功模拟了低漏电压(3mV)下的突触功能,如兴奋性突触后电流、抑制突触后电流、成对脉冲易化和微安电流长期可塑性,人工突触具有类似于人类遗忘和遗忘的功能。重新学习。为了将人工突触装置与其他电路集成,人工突触的等效电路模拟了本文中突触的可塑性。这些为柔性人工突触的模拟和生产提供了新的基础,其优异的长期可塑性特性在记忆功能方面具有巨大的应用潜力。

更新日期:2021-09-27
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