神经形态工程学
感知
计算机科学
人类视觉系统模型
铁电性
视野
人工智能
视皮层
视觉感受
人机交互
神经科学
材料科学
人工神经网络
心理学
光电子学
电介质
图像(数学)
作者
Yuqing Hu,Yixin Zhu,Xinli Chen,Qing Wan
出处
期刊:Nanomaterials
[Multidisciplinary Digital Publishing Institute]
日期:2025-06-04
卷期号:15 (11): 863-863
被引量:7
摘要
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.
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