神经形态工程学
记忆电阻器
冯·诺依曼建筑
计算机科学
光电子学
计算机体系结构
电子工程
材料科学
人工神经网络
人工智能
工程类
操作系统
作者
Xuanyu Shan,Zhongqiang Wang,Jun Xie,Jiahui Zheng,Haiyang Xu,Yichun Liu
出处
期刊:Chinese Physics
[Science Press]
日期:2022-01-01
卷期号:71 (14): 148701-148701
被引量:8
标识
DOI:10.7498/aps.71.20220350
摘要
Neuromorphic computing system, inspired by human brain, has the capability of breaking through the bottlenecks of conventional von Neumann architecture, which can improve the energy efficiency of data processing. Novel neuromorphic electronic components are the hardware foundation of efficient neuromorphic computation. Optoelectronic memristive device integrates the functions of sensing, memorizing and computing and is considered as a promising hardware candidate for neuromorphic vision. Herein, the recent research progress of optoelectronic memristive device for in-sensor computing are reviewed, including optoelectronic materials and mechanism, optoelectronic memristive device/characteristics as well as functionality and application of in-sensor computing. We first review the optoelectronic materials and corresponding memristive mechanism, including photon-ion coupling and photon-electron coupling type. Then optoelelctronic and all-optical modulated memristive device are introduced according to the modulation mode. Moreover, we exhibit the applications of optoelectronic device in cognitive function simulation, optoelectronic logic operation, neuromorphic vision, object tracking, etc. Finally, we summarize the advantages/challenges of optoelectronic memristor and prospect the future development.
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