Hu Yuqing, Zhu Yixin, Chen Xinli, Wan Qing
Yongjiang Laboratory, Functional Materials and Devices Heterogeneous Integration Research Center, Ningbo 315201, China.
School of Microelectronics, University of Science and Technology of China, Hefei 230026, China.
Nanomaterials (Basel). 2025 Jun 4;15(11):863. doi: 10.3390/nano15110863.
More than 70% of the information humans acquire from the external environment is derived through the visual system, where photosensitive function plays a pivotal role in the biological perception system. With the rapid development of artificial intelligence and robotics technology, achieving human-like visual perception has attracted a great amount of attention. The neuromorphic visual perception system provides a novel solution for achieving efficient and low-power visual information processing by simulating the working principle of the biological visual system. In recent years, ferroelectric materials have shown broad application prospects in the field of neuromorphic visual perception due to their unique spontaneous polarization characteristics and non-volatile response behavior under external field regulation. Especially in achieving tunable retinal neural synapses, visual information storage processing, and constructing dynamic visual sensing, ferroelectric materials have shown unique performance advantages. In this review, recent progress in neuromorphic visual perception based on ferroelectric materials is discussed, elaborating in detail on device structure, material systems, and applications, and exploring the potential future development trends and challenges faced in this field.
人类从外部环境获取的信息中，超过70%是通过视觉系统获得的，其中光敏功能在生物感知系统中起着关键作用。随着人工智能和机器人技术的快速发展，实现类人视觉感知引起了广泛关注。神经形态视觉感知系统通过模拟生物视觉系统的工作原理，为实现高效、低功耗的视觉信息处理提供了一种新颖的解决方案。近年来，铁电材料因其独特的自发极化特性和在外场调控下的非易失性响应行为，在神经形态视觉感知领域展现出广阔的应用前景。特别是在实现可调谐视网膜神经突触、视觉信息存储处理以及构建动态视觉传感方面，铁电材料表现出独特的性能优势。在这篇综述中，讨论了基于铁电材料的神经形态视觉感知的最新进展，详细阐述了器件结构、材料体系和应用，并探讨了该领域未来潜在的发展趋势和面临的挑战。
