Bidirectional Photovoltage‐Driven Oxide Transistors for Neuromorphic Visual Sensors
Biological vision is one of the most important parts of the human perception system. However, emulating biological visuals is challenging because it requires complementary photoexcitation and photoinhibition. Here, the study presents a bidirectional photovoltage-driven neuromorphic visual sensor (BPNVS) that is constructed by monolithically integrating two perovskite solar cells (PSCs) with dual-gate ion-gel-gated oxide transistors. PSCs act as photoreceptors, converting external visual stimuli into electrical signals, whereas oxide transistors generate neuromorphic signal outputs that can be adjusted to produce positive and negative photoresponses. This device mimics the human vision system's ability to recognize colored and color-mixed patterns. The device achieves a static color recognition accuracy of 96% by utilizing the reservoir computing system for feature extraction. The BPNVS mem-reservoir chip is also proposed for handing object movement and dynamic color recognition. This work is a significant step forward in neuromorphic sensing and complex pattern recognition.
Authors
- Johnny Chung Yin Ho (ORCID: https://orcid.org/0000-0003-3000-8794)
- Yunchao Xu (ORCID: https://orcid.org/0009-0003-7356-4325)
- Yang Ding (ORCID: https://orcid.org/0000-0001-8437-3565)
- Pengshan Xie (ORCID: https://orcid.org/0000-0002-5949-3458)
- Jia Sun (ORCID: https://orcid.org/0000-0003-4423-8128)
- Jianhui Chang (ORCID: https://orcid.org/0000-0002-8855-8521)
- Zijian Zheng (ORCID: https://orcid.org/0000-0002-6653-7594)
- Shenglan Yang (ORCID: https://orcid.org/0000-0001-8307-3712)
- Xiaofang Shi
- Chenxing Jin (ORCID: https://orcid.org/0009-0001-8035-4452)
- Lei Liao (ORCID: https://orcid.org/0000-0002-6465-9424)
- Wanrong Liu
- Changjin Wan
- Junliang Yang
- Jingwen Wang (ORCID: https://orcid.org/0000-0002-1484-201X)
Institutions
- Central South University (CN)
- Hong Kong Polytechnic University (HK)
- Hunan University (CN)
- City University of Hong Kong (HK)
- State Key Laboratory of Transducer Technology (CN)
- Collaborative Innovation Center of Advanced Microstructures (CN)
- Shanghai Institute of Microsystem and Information Technology (CN)
- Nanjing University (CN)
Publication Details
- Journal
- Advanced Materials
- Published
- 2024-10-28
- DOI
- https://doi.org/10.1002/adma.202410398
- Citations
- 27
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 5.63
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China
- Fundamental Research Funds for Central Universities of the Central South University