Emerging Optoelectronic Devices for Brain‐Inspired Computing
Abstract Brain‐inspired neuromorphic computing is recognized as a promising technology for implementing human intelligence in hardware. Neuromorphic devices, including artificial synapses and neurons, are regarded as essential components for the construction of neuromorphic hardware systems. Recently, optoelectronic neuromorphic devices are increasingly highlighted due to their potential applications in next‐generation artificial visual systems, attributed to their integrated sensing, computing, and memory capabilities. In this review, recent advancements in optoelectronic synapses and neurons are examined, with an emphasis on their structural characteristics, operational principles, and the replication of neuromorphic functions. For optoelectronic synaptic devices, such as memristor‐ and transistor‐based ones, attention is given to the two primary weight update modes: the light‐electricity synergistic mode and the all‐optical mode. Optoelectronic neurons are discussed in terms of different device types, including threshold switch neurons and semiconductor laser neurons. Last, the challenges that impede the progress of optoelectronic neuromorphic devices are identified, and potential future directions are suggested.
Authors
- Yang Chai (ORCID: https://orcid.org/0000-0002-8943-0861)
- Zhizhen Ye (ORCID: https://orcid.org/0000-0002-0886-0115)
- Xiaoyong Xue (ORCID: https://orcid.org/0000-0001-9001-4569)
- Lingxiang Hu (ORCID: https://orcid.org/0000-0002-7925-2635)
- Fei Zhuge (ORCID: https://orcid.org/0000-0002-1370-5806)
- Xianhua Wei (ORCID: https://orcid.org/0000-0002-9585-4898)
- Jingrui Wang (ORCID: https://orcid.org/0000-0002-1154-4535)
- Xia Zhuge
- Li Zhang (ORCID: https://orcid.org/0000-0002-2299-7409)
Institutions
- Southwest University of Science and Technology (CN)
- Hong Kong Polytechnic University (HK)
- Wenzhou University (CN)
- Ningbo University of Technology (CN)
- Temasek Polytechnic (SG)
- Chinese Academy of Sciences (CN)
- Fudan University (CN)
- Center for Excellence in Brain Science and Intelligence Technology (CN)
- Shanghai Fudan Microelectronics (China) (CN)
- Ningbo Institute of Industrial Technology (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Advanced Electronic Materials
- Published
- 2024-09-09
- DOI
- https://doi.org/10.1002/aelm.202400482
- Citations
- 26
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 5.43
Funders
- National Natural Science Foundation of China
- Chinese Academy of Sciences
- China Postdoctoral Science Foundation
- Natural Science Foundation of Ningbo
- National Postdoctoral Program for Innovative Talents
- Natural Science Foundation of Zhejiang Province