神经形态工程学
感觉系统
计算机科学
人机交互
计算机图形学(图像)
心理学
人工智能
神经科学
人工神经网络
作者
HoYeon Kim,Woojoong Kim,Cheolmin Park
出处
期刊:
[Elsevier BV]
日期:2025-07-16
卷期号:3 (12): 100848-100848
被引量:12
标识
DOI:10.1016/j.device.2025.100848
摘要
Sensory neuromorphic displays integrate sensory processing, computation, memory, and visualization into a unified system, addressing the key limitations of traditional displays, such as limited adaptability, high power consumption, and lack of contextual awareness. By leveraging neuromorphic computing principles and advanced device architectures, these displays enable real-time, adaptive responses to environmental stimuli, enhancing energy efficiency and interactivity. This perspective explores the fundamental principles of sensory neuromorphic displays, recent advancements in materials and device technologies—such as light-emitting transistors, memristors, and multimodal sensory systems—and their applications in healthcare, augmented reality/virtual reality, industrial automation, automotive interfaces, and medical diagnostics. Material-, device-, and functionality-level challenges are discussed, along with potential strategies to overcome them, thereby providing a roadmap for advancing neuromorphic displays toward next-generation intelligent and adaptive display systems.
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