Volume 2 Issue 3
August  2023
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Chengzhai Lv, Fanqing Zhang, Chunyang Li, Zhongyi Li, Jing Zhao. Low-dimensional optoelectronic synaptic devices for neuromorphic vision sensors[J]. Materials Futures, 2023, 2(3): 032301. doi: 10.1088/2752-5724/acda4d
Citation: Chengzhai Lv, Fanqing Zhang, Chunyang Li, Zhongyi Li, Jing Zhao. Low-dimensional optoelectronic synaptic devices for neuromorphic vision sensors[J]. Materials Futures, 2023, 2(3): 032301. doi: 10.1088/2752-5724/acda4d
shu
Topical Review •
OPEN ACCESS

Low-dimensional optoelectronic synaptic devices for neuromorphic vision sensors

© 2023 The Author(s). Published by IOP Publishing Ltd on behalf of the Songshan Lake Materials Laboratory
Materials Futures, Volume 2, Number 3
  • Received Date: 2023-04-04
  • Accepted Date: 2023-05-30
  • Publish Date: 2023-06-21
doi: 10.1088/2752-5724/acda4d

  • 1 School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, People’s Republic of China

  • 2 Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing 100081, People’s Republic of China

Funds:

This work was supported by National Key R&D program of China (Grant No. 2019YFB1309701), National Natural Science Foundation of China (NSFC, Grand Nos. U1813211, 61804009), Beijing Institute of Technology Research Fund Program for Young Scholars and Analysis & Testing Center, Beijing Institute of Technology.

    Abstract

  • Neuromorphic systems represent a promising avenue for the development of the next generation of artificial intelligence hardware. Machine vision, one of the cores in artificial intelligence, requires system-level support with low power consumption, low latency, and parallel computing. Neuromorphic vision sensors provide an efficient solution for machine vision by simulating the structure and function of the biological retina. Optoelectronic synapses, which use light as the main means to achieve the dual functions of photosensitivity and synapse, are the basic units of the neuromorphic vision sensor. Therefore, it is necessary to develop various optoelectronic synaptic devices to expand the application scenarios of neuromorphic vision systems. This review compares the structure and function for both biological and artificial retina systems, and introduces various optoelectronic synaptic devices based on low-dimensional materials and working mechanisms. In addition, advanced applications of optoelectronic synapses as neuromorphic vision sensors are comprehensively summarized. Finally, the challenges and prospects in this field are briefly discussed.

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