Birdlike broadband neuromorphic visual sensor arrays for fusion imaging
Wearable visual bionic devices, fueled by advancements in artificial intelligence, are making remarkable progress. However, traditional silicon vision chips often grapple with high energy losses and challenges in emulating complex biological behaviors. In this study, we constructed a van der Waals P3HT/GaAs nanowires P-N junction by carefully directing the arrangement of organic molecules. Combined with a Schottky junction, this facilitated multi-faceted birdlike visual enhancement, including broadband non-volatile storage, low-light perception, and a near-zero power consumption operating mode in both individual devices and 5 × 5 arrays on arbitrary substrates. Specifically, we realized over 5 bits of in-memory sensing and computing with both negative and positive photoconductivity. When paired with two imaging modes (visible and UV), our reservoir computing system demonstrated up to 94% accuracy for color recognition. It achieved motion and UV grayscale information extraction (displayed with sunscreen), leading to fusion visual imaging. This work provides a promising co-design of material and device for a broadband and highly biomimetic optoelectronic neuromorphic system.
Authors
- You Meng (ORCID: https://orcid.org/0000-0002-5385-4080)
- Johnny Chung Yin Ho (ORCID: https://orcid.org/0000-0003-3000-8794)
- Yezhan Li (ORCID: https://orcid.org/0000-0003-1340-9094)
- Yunchao Xu (ORCID: https://orcid.org/0009-0003-7356-4325)
- Yi Shen (ORCID: https://orcid.org/0000-0002-0941-8644)
- Zixin Zeng (ORCID: https://orcid.org/0000-0001-8145-4044)
- Dengji Li (ORCID: https://orcid.org/0000-0002-4406-0246)
- Pengshan Xie (ORCID: https://orcid.org/0000-0002-5949-3458)
- Quan Quan (ORCID: https://orcid.org/0000-0001-8216-8998)
- Boxiang Gao (ORCID: https://orcid.org/0000-0001-8422-5941)
- Jia Sun (ORCID: https://orcid.org/0000-0003-4423-8128)
- Yuxuan Zhang (ORCID: https://orcid.org/0000-0002-6179-4313)
- Bowen Li (ORCID: https://orcid.org/0000-0001-5133-931X)
- Yan Yan (ORCID: https://orcid.org/0000-0001-5404-5026)
- Weijun Wang (ORCID: https://orcid.org/0009-0003-4626-735X)
- Jingwen Wang (ORCID: https://orcid.org/0000-0002-1484-201X)
Institutions
- Central South University (CN)
- City University of Hong Kong (HK)
- Kyushu University Hospital (JP)
- State Key Laboratory of Transducer Technology (CN)
- Shanghai Institute of Microsystem and Information Technology (CN)
Publication Details
- Journal
- Nature Communications
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1038/s41467-024-52563-4
- Citations
- 44
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 9.18
Funders
- City University of Hong Kong
- Research Grants Council, University Grants Committee
- Innovation and Technology Commission
- Innovation and Technology Fund
- National Key Research and Development Program of China