铁电光电人工突触及其在神经形态视觉系统中的应用

doi:10.3976/j.issn.1002-4026.2025162

摘要/Abstract

摘要：

铁电光电人工突触作为一种新兴的智能器件,凭借其超快读写速度、超低能耗等优点,被视为构建神经形态视觉系统的理想候选器件。本文系统综述了铁电光电人工突触器件的最新研究进展。首先阐述了光电导型和光伏型两类器件的工作机制及其对基本突触功能的模拟;重点综述了铁电光电人工突触器件在神经形态视觉系统中的应用,具体包括生物视觉系统的学习与记忆功能模拟、图像信息预处理与识别、动态视觉信息的监测及处理以及多模态交互系统中的应用;最后从材料制备、器件工艺以及系统架构等方面总结了该类器件发展面临的主要挑战,并对其未来发展前景进行了展望。本综述为本领域的学者提供结构化的知识框架,也对推动新型低功耗智能视觉硬件的发展有重要参考价值与方向指引。

关键词: 神经形态视觉, 铁电光电人工突触, 突触可塑性

Abstract:

Ferroelectric optoelectronic artificial synapses, as an emerging class of intelligent devices, are regarded as ideal candidates for constructing neuromorphic visual systems owing to their advantages, such as ultrafast read-write speed and ultra-low energy consumption. This Perspective systematically reviews recent research progress in ferroelectric optoelectronic artificial synaptic devices. First, the operating mechanisms of two types of devices—namely photoconductive and photovoltaic devices—and their simulation of basic synaptic functions are discussed. Subsequently, the applications of these devices in neuromorphic visual systems are reviewed, including the simulation of learning and memory functions in biological visual systems, image information preprocessing and recognition, the detection and processing of dynamic visual information, and applications in multimodal interaction systems. Finally, the main challenges in the development of this class of devices are summarized from the perspectives of material preparation, device fabrication processes, and system architecture, and future development prospects are also presented. This Perspective not only provides a structured knowledge framework for experts in the field but also offers valuable reference information and directional guidance for advancing the development of novel low-power intelligent visual hardware.

Key words: neuromorphic vision, ferroelectric optoelectronic artificial synapses, synaptic plasticity

中图分类号:

O469

周珂如, 房红, 郑立梅. 铁电光电人工突触及其在神经形态视觉系统中的应用[J]. 山东科学, 2026, 39(2): 39-49.

ZHOU Keru, FANG Hong, ZHENG Limei. Ferroelectric optoelectronic artificial synapses and applications in neuromorphic visual systems[J]. Shandong Science, 2026, 39(2): 39-49.

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