On non-von Neumann flexible neuromorphic vision sensors  

作　　者：Hao Wang Bin Sun Shuzhi Sam Ge Jie Su Ming Liang Jin 

机构地区：[1]Institute for Future,Shandong Key Laboratory of Industrial Control Technology,School of Automation,Qingdao University,Qingdao 266071,China [2]College of Electronic and Information Engineering,Qingdao University,Qingdao 266071,China [3]Department of Electrical and Computer Engineering,and Institute for Functional Intelligent Materials,National University of Singapore,Singapore 117583,Singapore

出　　处：《npj Flexible Electronics》2024年第1期638-663,共26页npj-柔性电子(英文)

基　　金：supported by the Young Taishan Scholars Program of Shandong Province(grant nos.201909099)to M.L.Jin;Ministry of Education,Singapore,under its Research Centre of Excellence award to the Institute for Functional Intelligent Materials(I-FIM,project No.EDUNC-33-18-279-V12)to S.S.Ge;National Natural Science Foundation of China(grant nos.52003134 and 12374088)to M.L.Jin and J.Su.

摘　　要：The structure andmechanismof thehuman visual system contain rich treasures,and surprising effects can be achieved by simulating the human visual system.In this article,starting from the human visual system,we compare and discuss the discrepancies between the human visual system and traditional machine vision systems.Given the wide variety and large volume of visual information,the use of nonvon Neumann structured,flexible neuromorphic vision sensors can effectively compensate for the limitations of traditional machine vision systems based on the von Neumann architecture.Firstly,this article addresses the emulation of retinal functionality and provides an overview of the principles and circuit implementation methods of non-von Neumann computing architectures.Secondly,in terms of mimicking the retinal surface structure,this article introduces the fabrication approach for flexible sensor arrays.Finally,this article analyzes the challenges currently faced by non-von Neumann flexible neuromorphic vision sensors and offers a perspective on their future development.

关 键 词：NEUMANN SYSTEM STARTING 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]