Retina‐Inspired Artificial Synapses with UV Modulated and Immediate Switchable Plasticity
Abstract As the most promising candidates for implementing in‐sensor computing and lower power consumption, retina‐inspired morphometric vision sensors must be able to perceive and discriminate images under various illumination conditions. However, integrating invisible ultraviolet (UV) light sensing and memory in a device is valuable for exploring advanced neuromorphic visual perception systems. Here, a retina‐inspired artificial neuromorphic vision sensor based on GaN/BiFeO 3 heterojunction, which integrates sensing, memory, and processing functions, is presented. The device exhibits immediate switchable synapse plasticity‐modulated ultra‐weak UV illumination, including excitatory postsynaptic current (EPSC), paired‐pulse facilitation (PPF), short‐term and long‐term plasticity (STP/LTP), and the learning‐forgetting‐relearning process. The maximum PPF index of the device is 200%, and the minimum excitation light intensity is 0.68 µW cm −2 . The phenomenon is attributed to the effective UV light modulation for negative polarization, ionization and de‐ionization of the oxygen vacancies, further enhancing the persistent photoconductive (PPC) effect. In addition, the device successfully mimics human‐like visual memory behavior by identifying the “BINN” letter pattern, which is extracted and visualized by invisible UV information from the learning‐forgetting‐relearning process. This work provides valuable insights into next‐generation low‐power and multi‐functional photovoltaic artificial synapses.
Authors
- Qilin Hua (ORCID: https://orcid.org/0000-0002-5269-5532)
- Xuan Di (ORCID: https://orcid.org/0000-0003-2925-7697)
- Qi Li (ORCID: https://orcid.org/0000-0002-0550-3489)
- Lu Wang (ORCID: https://orcid.org/0000-0003-4979-4895)
- Yanli Liu (ORCID: https://orcid.org/0000-0003-0197-7617)
- Longfei Wang (ORCID: https://orcid.org/0000-0002-3951-0783)
- Zhou Li (ORCID: https://orcid.org/0000-0002-9952-7296)
- Jianping Meng
- Xuemei Zheng
- Mengji Dong
Institutions
- Beijing Institute of Technology (CN)
- Guangxi University (CN)
- Chinese Academy of Sciences (CN)
- China University of Geosciences (Beijing) (CN)
- Beijing Institute of Nanoenergy and Nanosystems (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Advanced Functional Materials
- Published
- 2025-02-26
- DOI
- https://doi.org/10.1002/adfm.202420612
- Citations
- 18
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 13.15
Funders
- National Natural Science Foundation of China
- Youth Innovation Promotion Association of the Chinese Academy of Sciences
- Natural Science Foundation of Beijing Municipality