Visual synapse based on reconfigurable organic photovoltaic cell  

作　　者：Xiangrong Pu Fan Shu Qifan Wang Gang Liu Zhang Zhang 

机构地区：[1]School of Microelectronics,Hefei University of Technology,Hefei 230009,China [2]National Key Laboratory of Science and Technology on Micro/Nano Fabrication,Shanghai Jiao Tong University,Shanghai 200240,China

出　　处：《Journal of Semiconductors》2025年第2期105-112,共8页半导体学报(英文版)

基　　金：the National Natural Science Foundation of China(62111540271);Natural Science Foundation of Anhui Province(2308085MF207).

摘　　要：The hierarchical and coordinated processing of visual information by the brain demonstrates its superior ability to min-imize energy consumption and maximize signal transmission efficiency.Therefore,it is crucial to develop artificial visual synapses that integrate optical sensing and synaptic functions.This study fully leverages the excellent photoresponsivity proper-ties of the PM6:Y6 system to construct a vertical photo-tunable organic memristor and conducts in-depth research on its resis-tive switching performance,photodetection capability,and simulation of photo-synaptic behavior,showcasing its excellent per-formance in processing visual information and simulating neuromorphic behaviors.The device achieves stable and gradual resis-tance change,successfully simulating voltage-controlled long-term potentiation/depression(LTP/LTD),and exhibits various photo-electric synergistic regulation of synaptic plasticity.Moreover,the device has successfully simulated the image percep-tion and recognition functions of the human visual nervous system.The non-volatile Au/PM6:Y6/ITO memristor is used as an artificial synapse and neuron modeling,building a hierarchical coordinated processing SLP-CNN cascade neural network for visual image recognition training,its linear tunable photoconductivity characteristic serves as the weight update of the net-work,achieving a recognition accuracy of up to 93.4%.Compared with the single-layer visual target recognition model,this scheme has improved the recognition accuracy by 19.2%.

关 键 词：organic memristor visual synapse neuromorphic computing PM6:Y6 image recognition 

分 类 号：TM914.4[电气工程—电力电子与电力传动] TP391.41[自动化与计算机技术—计算机应用技术]