详细信息
A dual-mode organic memristor for coordinated visual perceptive computing
文献类型:期刊文献
中文题名:A dual-mode organic memristor for coordinated visual perceptive computing
作者:Jinglin Sun[1,2,5];Qilai Chen[3];Fei Fan[5];Zeyulin Zhang[4];Tingting Han[1];Zhilong He[1,5];Zhixin Wu[1];Zhe Yu[3];Pingqi Gao[3];Dazheng Chen[4];Bin Zhang[2];Gang Liu[1]
机构:[1]National Key Laboratory of Science and Technology on Micro/Nano Fabrication,Shanghai Jiao Tong University,Shanghai 200240,China;[2]School of Chemistry and Molecular Engineering,East China University of Science and Technology,Shanghai 200237,China;[3]School of Materials,Sun Yat-sen University,Guangzhou 510275,China;[4]School of Microelectronics,Xidian University,Xi’an 710071,China;[5]School of Chemistry and Chemical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China
年份:2024
卷号:4
期号:6
起止页码:1666
中文期刊名:Fundamental Research
外文期刊名:自然科学基础研究(英文版)
收录:CSCD:【CSCD2023_2024】;
基金:the National Natural Science Foundation of China(62111540271,62104267,62004123,61974090,and 51973061);China Postdoctoral Science Foundation(2020M671118);Natural Science Foundation of Shanghai(19ZR1474500 and 19ZR1413100);Shanghai Rising-Star Program(21QA1402100).
语种:英文
中文关键词:Memristor;Neuromorphic device;Organic electronics;In-memory computing;In-sensor computing;Machine vision
摘要:The hierarchically coordinated processing of visual information with the data degradation characteristic embodies the energy consumption minimization and signal transmission efficiency maximization of brain activities.This inspires machine vision to handle the explosively increased data in real-time.In this contribution,we demonstrate the possibility of constructing a coordinated perceptive computing paradigm with dual-mode organic memristors to emulate the visual processing capability of the brain systems.The 32-state modulation of the device photoresponsivity and conductance via photo-induced molecular reconfiguration and electrochemical redox activities enables the execution of computing-in-sensor and computing-in-memory tasks,respectively,which in turn allows the homogeneous hardware integration of a single-layer perceptron and a convolutional neural network for high-efficiency hierarchical visual processing.Compared to the sole optoelectronic CIS mode to recognize visual targets,the dual-mode organic memristor-based coordinated computing scheme demonstrates a 24.5%improvement in the recognition accuracy and 45.8%reduction in the network size.
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