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Recent Progress in Optoelectronic Synapses for Artificial Visual‐Perception System
Author(s) -
Han Xun,
Xu Zhangsheng,
Wu Wenqiang,
Liu Xianhu,
Yan Peiguang,
Pan Caofeng
Publication year - 2020
Publication title -
small structures
Language(s) - English
Resource type - Journals
ISSN - 2688-4062
DOI - 10.1002/sstr.202000029
Subject(s) - neuromorphic engineering , computer science , human visual system model , bandwidth (computing) , perception , visual perception , synapse , artificial intelligence , neuroscience , artificial neural network , telecommunications , image (mathematics) , biology
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.