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.

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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

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article

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

Qilin Hua, Xuan Di, Qi Li, Lu Wang et al.
18 citations
Advanced Functional Materials
Advanced Memory and Neural Computing
13.15
article

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

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

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/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.

Advanced Functional MaterialsVol. 35(30)
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)
National Natural Science Foundation of China, Youth Innovation Promotion Association of the Chinese Academy of Sciences, Natural Science Foundation of Beijing Municipality
Reduced inequalities
Openalex Percentile: Top 1%
Advanced Memory and Neural Computing
13.15
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