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Graphene/F16CuPc synaptic transistor for the emulation of multiplexed neurotransmission

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Graphene/F16CuPc synaptic transistor for the emulation of multiplexed neurotransmission
We demonstrate a bipolar graphene/F16CuPc synaptic transistor(GFST)with matched p-type and n-type bipolar prop-erties,which emulates multiplexed neurotransmission of the release of two excitatory neurotransmitters in graphene and F16CuPc channels,separately.This process facilitates fast-switching plasticity by altering charge carriers in the separated chan-nels.The complementary neural network for image recognition of Fashion-MNIST dataset was constructed using the matched relative amplitude and plasticity properties of the GFST dominated by holes or electrons to improve the weight regulation and recognition accuracy,achieving a pattern recognition accuracy of 83.23%.These results provide new insights to the construc-tion of future neuromorphic systems.

synaptic transistordual excitatory channelsfast-switching plasticitymultiplexed neurotransmission

Zhipeng Xu、Yao Ni、Mingxin Sun、Yiming Yuan、Ning Wu、Wentao Xu

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Institute of Photoelectronic Thin Film Devices and Technology,Key Laboratory of Photoelectronic Thin Film Devices and Technology of Tian-jin,College of Electronic Information and Optical Engineering,Engineering Research Center of Thin Film Photoelectronic Technology of Min-istry of Education,Nankai University,Tianjin 300350,China

Shenzhen Research Institute of Nankai University,Shenzhen 518000,China

Smart Sensing Interdisciplinary Science Center,Nankai University,Tianjin 300350,China

School of Integrated Circuits,Guangdong University of Technology,Guangzhou 510006,China

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synaptic transistor dual excitatory channels fast-switching plasticity multiplexed neurotransmission

2025

半导体学报(英文版)
中国电子学会和中国科学院半导体研究所

半导体学报(英文版)

影响因子:0.36
ISSN:1674-4926
年,卷(期):2025.46(1)