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Special Issue:
SPECIAL TOPIC — Physics in neuromorphic devices
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| TOPICAL REVIEW—Physics in neuromorphic devices |
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Recent progress in optoelectronic neuromorphic devices |
| Yan-Bo Guo(郭延博)1,2,3, Li-Qiang Zhu(竺立强)1,2 |
1 School of Physical Science and Technology, Ningbo University, Ningbo 315211, China;
2 Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China;
3 School of Materials Science & Engineering, Shanghai University, Shanghai 200444, China |
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Abstract Rapid developments in artificial intelligence trigger demands for perception and learning of external environments through visual perception systems. Neuromorphic devices and integrated system with photosensing and response functions can be constructed to mimic complex biological visual sensing behaviors. Here, recent progresses on optoelectronic neuromorphic memristors and optoelectronic neuromorphic transistors are briefly reviewed. A variety of visual synaptic functions stimulated on optoelectronic neuromorphic devices are discussed, including light-triggered short-term plasticities, long-term plasticities, and neural facilitation. These optoelectronic neuromorphic devices can also mimic human visual perception, information processing, and cognition. The optoelectronic neuromorphic devices that simulate biological visual perception functions will have potential application prospects in areas such as bionic neurological optoelectronic systems and intelligent robots.
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Received: 02 April 2020
Revised: 21 May 2020
Accepted manuscript online:
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PACS:
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85.60.-q
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(Optoelectronic devices)
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85.60.Dw
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(Photodiodes; phototransistors; photoresistors)
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| Fund: Project supported by the National Natural Science Foundation of China (Grant No. 51972316), Open Project of State Key Laboratory of ASIC & System (Grant No. 2019KF006), Zhejiang Provincial Natural Science Foundation of China (Grant No. LR18F040002), and Program for Ningbo Municipal Science and Technology Innovative Research Team, China (Grant No. 2016B10005). |
Corresponding Authors:
Li-Qiang Zhu
E-mail: zhuliqiang@nbu.edu.cn
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Cite this article:
Yan-Bo Guo(郭延博), Li-Qiang Zhu(竺立强) Recent progress in optoelectronic neuromorphic devices 2020 Chin. Phys. B 29 078502
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