Retina-Inspired Artificial Optoelectronic Neurons With Broad Spectral Response for Visual Image Pre-Processing
Inspired by the human retina, the development of neuromorphic vision systems featuring image perception, memory, and processing functions aims to address the limitations of traditional artificial vision systems concerning circuit simplification, device integration, and power consumption. The narrow spectral response of optoelectronic neurons, an important hardware basis for neuromorphic vision systems, limits their application in broad-spectrum artificial visual perception. In this study, we present an artificial optoelectronic neuron that demonstrates broadband sensing capabilities with a response range encompassing ultraviolet, visible, and near-infrared regions. Furthermore, we have designed a 64 × 64 array of optoelectronic neurons capable of effectively simulating the light perception and image pre-processing functions (enhance image contrast), of the retina. This work is important for improving image processing efficiency and realizing neuromorphic vision systems with broadband perception.
Authors
- Yujie Yan (ORCID: https://orcid.org/0000-0002-9160-1076)
- Huipeng Chen (ORCID: https://orcid.org/0000-0003-1706-3174)
- Zhihong Zeng (ORCID: https://orcid.org/0000-0001-7852-9172)
- Xin Yi (ORCID: https://orcid.org/0000-0001-8041-7962)
- Chang Su (ORCID: https://orcid.org/0000-0001-7486-0247)
- Bing‐Lin Lai (ORCID: https://orcid.org/0000-0001-6817-948X)
- Hongyu Wang (ORCID: https://orcid.org/0000-0002-5063-9166)
- Guocheng Zhang (ORCID: https://orcid.org/0000-0002-4429-4464)
- Jianchuan Tang (ORCID: https://orcid.org/0009-0001-0046-1566)
Institutions
- Tan Kah Kee Innovation Laboratory (CN)
- Xiamen University of Technology (CN)
- Fuzhou University (CN)
- Fujian University of Technology (CN)
Publication Details
- Journal
- IEEE Electron Device Letters
- Published
- 2025-01-09
- DOI
- https://doi.org/10.1109/led.2024.3525088
- Citations
- 3
- Primary Topic
- CCD and CMOS Imaging Sensors
- Type
- article
- Field-Weighted Citation Impact
- 2.19