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

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.

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Publication Details

Journal
ACS Applied Electronic Materials
Published
2025-02-21
DOI
https://doi.org/10.1021/acsaelm.4c02241
Citations
6
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
4.38

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

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ACS Applied Electronic Materials
Advanced Memory and Neural Computing
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article

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

Yan Jia, Shukai Duan, Changrong Liao, Bai Tao Sun, Guangdong Zhou, Xiaofang Hu, Zhaohui Yang, Ping Li, Lidan Wang, Yue Zhou, Bochang Zhang, Dengshun Gu
article en
6 citations

Abstract

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.

ACS Applied Electronic MaterialsVol. 7(5)
Southwest University (CN), Zunyi Normal College (CN), Frontier Science Foundation (CH), Chongqing University of Arts and Sciences (CN), Institute of Science and Technology, Xi'an Jiaotong University (CN)
Natural Science Foundation of Chongqing, Fundamental Research Funds for the Central Universities
Affordable and clean energy
Openalex Percentile: Top 6%
Advanced Memory and Neural Computing
4.38
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