Recent Progress in Optoelectronic Synapses for Artificial Visual-Perception System

被引:71
|
作者
Han, Xun [1 ]
Xu, Zhangsheng [2 ]
Wu, Wenqiang [2 ]
Liu, Xianhu [3 ,4 ]
Yan, Peiguang [1 ]
Pan, Caofeng [1 ,2 ]
机构
[1] Shenzhen Univ, Coll Phys & Optoelect Engn, Shenzhen 518060, Peoples R China
[2] Chinese Acad Sci, Beijing Inst Nanoenergy & Nanosyst, Beijing Key Lab Micronano Energy & Sensor, CAS Ctr Excellence Nanosci, Beijing 100083, Peoples R China
[3] Zhengzhou Univ, Minist Educ, Key Lab Mat Proc & Mold, Zhengzhou 450002, Henan, Peoples R China
[4] Zhengzhou Univ, Natl Engn Res Ctr Adv Polymer Proc Technol, Zhengzhou 450002, Henan, Peoples R China
来源
SMALL STRUCTURES | 2020年 / 1卷 / 03期
基金
中国国家自然科学基金; 北京市自然科学基金;
关键词
artificial visual-perception systems; neuromorphic computing; optoelectronic synapses; synaptic behaviors; RESISTIVE SWITCHING MEMORY; TERM SYNAPTIC PLASTICITY; NEURAL-NETWORKS; SENSOR MATRIX; PRESSURE; DEVICE; SEMICONDUCTOR; FUNDAMENTALS; TRANSISTORS; RECOGNITION;
D O I
10.1002/sstr.202000029
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The human visual system undertakes most of the information perceiving tasks, and nearly 80% of the perceived information is obtained via the visual system. The basic functions of the human visual system can be emulated by neuromorphic visual-perception systems in the light region from UV to near-IR. An optoelectronic synapse served as the basic unit of the neuromorphic visual-perception system is required to combine photosensing function and synaptic element. In addition, optoelectronic synapses demonstrate the prospective advantage of large bandwidth, ultrafast signal transmission, and low electrical energy loss, which is expected in the photonic signal-triggered computing. This work reviews recent progress in the optoelectrical synapses. Device architectures and working mechanisms are discussed. The applications in the artificial visual-perception system for image memorization and pattern recognition are reviewed. The main challenges and opportunities of optoelectrical synapses are also presented.
引用
收藏
页数:18
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