Polymer Optoelectronic Synapse with Tunable Negative Photoconductance Memory for Sequential Signal Processing

作者：Zhaohui Yang, Dengshun Gu, Bochang Zhang, Ping Li, Bai Sun, Changrong Liao, Yue Zhou, Yan Jia, Xiaofang Hu, Lidan Wang, Shukai Duan, Guangdong Zhou · 发表于：ACS Applied Electronic Materials · 年份：2025 · DOI：10.1021/acsaelm.4c02241 · 被引用次数：9 · 研究领域：Advanced Memory and Neural Computing、Photoreceptor and optogenetics research、Neuroscience and Neural Engineering

With the development of artificial intelligence and neuromorphic computing, bioinspired computational models have gained widespread attention. This paper presents a light synapse device based on polyvinylidene fluoride (PVDF), which integrates the negative photoconductivity (NPC) effect and analog switching memory (ASM) effect within the same pixel. The NPC effect of this memristor enables high-performance short/long-term synaptic plasticity that can be modularly adjusted through optical pulse parameters. Under 405 nm laser illumination, the light synapse device exhibits a stable negative light response and achieves short-term depression (STD) and long-term depression (LTD). Furthermore, the device demonstrates excellent performance in simulating paired-pulse facilitation (PPF), pulse count dependence, pulse width dependence, and pulse height dependence. Additionally, we constructed a neuromorphic visual system with a memory computing architecture, which achieved an accuracy of 96.50% in handwritten digit pattern recognition, showcasing its immense potential in artificial intelligence and neuromorphic computing. This research provides an approach for developing efficient and flexible neuromorphic computing devices and lays the foundation for the design of future intelligent visual systems.