journal article·2025-07

Retina‐Inspired Artificial Synapses with UV Modulated and Immediate Switchable Plasticity

Xuemei Zheng, Mengji Dong, Qi Li, Lu Wang, Yanli Liu, Xuan Di, Qilin Hua, Longfei Wang, Jianping Meng, Zhou Li

Advanced Functional Materials· Volume 35· Issue 30
Publisher page

Abstract

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/BiFeO3 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.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Photoreceptor and optogenetics research · Neural dynamics and brain function

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences Beijing 101400 China

School of Nanoscience and Engineering University of Chinese Academy of Sciences Beijing 100049 China

College of Materials Science and Opto‐Electronic Technology University of Chinese Academy of Sciences Beijing 100049 China

School of Physical Science and Technology Guangxi University Nanning 530004 China

School of Engineering and Technology China University of Geosciences (Beijing) Beijing 100083 China

School of Integrated Circuits and Electronics Beijing Institute of Technology Beijing 100081 China

Funding

National Natural Science Foundation of China · Youth Innovation Promotion Association of the Chinese Academy of Sciences · Natural Science Foundation of Beijing Municipality

References (36)

Show source-provided references
1. 10.1109/85.23838910.1109/85.238389 ↗
2. 10.1088/0957-4484/24/38/38200110.1088/0957-4484/24/38/382001 ↗
3. 10.1002/advs.20210349410.1002/advs.202103494 ↗
4. 10.1002/advs.20190348010.1002/advs.201903480 ↗
5. 10.1002/adma.20180154810.1002/adma.201801548 ↗
6. 10.1007/s40820-020-00525-y10.1007/s40820-020-00525-y ↗
7. 10.1002/adma.20210496010.1002/adma.202104960 ↗
8. 10.1038/s41565-019-0501-310.1038/s41565-019-0501-3 ↗
9. 10.1016/j.xcrp.2022.10103710.1016/j.xcrp.2022.101037 ↗
10. 10.1021/acsnano.2c0103510.1021/acsnano.2c01035 ↗
11. 10.1021/acsnano.9b0768710.1021/acsnano.9b07687 ↗
12. 10.1021/acsnano.0c0687410.1021/acsnano.0c06874 ↗
13. 10.1038/s41586-020-2038-x10.1038/s41586-020-2038-x ↗
14. 10.1039/C8NR07133K10.1039/C8NR07133K ↗
15. 10.1002/smll.20190096610.1002/smll.201900966 ↗
16. 10.1002/adfm.20210600010.1002/adfm.202106000 ↗
17. 10.1002/adfm.20180439710.1002/adfm.201804397 ↗
18. 10.1002/adma.20190782610.1002/adma.201907826 ↗
19. 10.1021/acsnano.1c0675810.1021/acsnano.1c06758 ↗
20. Zhu Y. · Research · 2020
21. 10.1016/j.nanoen.2019.10385910.1016/j.nanoen.2019.103859 ↗
22. 10.1016/j.nanoen.2018.10.01810.1016/j.nanoen.2018.10.018 ↗
23. 10.1038/s41467-023-37973-010.1038/s41467-023-37973-0 ↗
24. 10.1016/j.nanoen.2019.10409510.1016/j.nanoen.2019.104095 ↗
25. 10.1126/sciadv.aay522510.1126/sciadv.aay5225 ↗
26. 10.1002/adfm.20180664610.1002/adfm.201806646 ↗
27. 10.1038/s41467-021-22047-w10.1038/s41467-021-22047-w ↗
28. 10.1002/adfm.20221146710.1002/adfm.202211467 ↗
29. 10.1038/s41565-023-01379-210.1038/s41565-023-01379-2 ↗
30. 10.1002/adfm.20200541310.1002/adfm.202005413 ↗
31. 10.1002/adfm.20190890110.1002/adfm.201908901 ↗
32. 10.1016/j.nanoen.2020.10479010.1016/j.nanoen.2020.104790 ↗
33. 10.1002/adfm.20230353910.1002/adfm.202303539 ↗
34. 10.1002/adom.20220040910.1002/adom.202200409 ↗
35. 10.1016/j.nanoen.2022.10768610.1016/j.nanoen.2022.107686 ↗
36. 10.1002/adfm.20231538310.1002/adfm.202315383 ↗