用于类脑视觉的可重构非易失性光电探测器
Reconfigurable Nonvolatile Photodetectors for Brain-Inspired Vision.
摘要(中文译文)
机器视觉是智能系统不可或缺的感知接口，然而基于冯·诺依曼架构的传统视觉系统由于传感单元与处理单元在物理上相互分离，存在显著的延迟和高功耗问题。为解决这些瓶颈，受人类视网膜高效局部处理机制启发的神经形态视觉系统应运而生。作为感内计算的核心范式，可重构非易失性光电探测器（RNVPs）将光电探测、非易失存储和处理功能集成于单一器件中，代表了面向高能效实时人工智能的一个富有前景的前沿方向。本综述对RNVPs进行了全面概述。首先介绍人类视觉感知系统及仿生感内计算架构范式。随后，我们概述RNVPs的核心概念并建立关键性能指标。接着，按照工作机制详细讨论RNVPs的最新进展，并总结其在图像处理中的潜在应用。最后，我们强调当前面临的挑战，并对RNVPs面向下一代感内计算的未来发展方向提出展望。
Abstract
Machine vision serves as the essential sensorial interface for intelligent systems, yet conventional vision systems based on the von Neumann architecture suffer from significant latency and high power consumption due to the physical separation of sensing and processing units. To address these bottlenecks, neuromorphic vision systems inspired by the efficient, localized processing of the human retina have emerged. As a core paradigm of in-sensor computing, reconfigurable nonvolatile photodetectors (RNVPs) that integrate photodetection, nonvolatile memory, and processing into a single device represent a promising frontier for energy-efficient, real-time artificial intelligence. This review provides a comprehensive overview of RNVPs. It begins by introducing the human visual perception system and the paradigm of bioinspired in-sensor computing architectures. Subsequently, we overview the core concepts of RNVPs and establish the key performance metrics. Recent advances in RNVPs are then discussed in detail according to their working mechanisms, followed by a summary of their potential applications in image processing. To conclude, we highlight current challenges and offer perspectives on the future trajectory of RNVPs for next-generation in-sensor computing.
如何引用
AMA
Fuqin Sun, Yingyi Wang, Zehua Zhao, Qiqi Ruan, Ting Zhang, Xiaowei Wang. Reconfigurable Nonvolatile Photodetectors for Brain-Inspired Vision.. ACS nano. 2026; doi:10.1021/acsnano.6c08097.
APA
Fuqin Sun, Yingyi Wang, Zehua Zhao, Qiqi Ruan, Ting Zhang, Xiaowei Wang (2026). Reconfigurable Nonvolatile Photodetectors for Brain-Inspired Vision.. ACS nano. https://doi.org/10.1021/acsnano.6c08097
GB/T 7714
Fuqin Sun, Yingyi Wang, Zehua Zhao, Qiqi Ruan, Ting Zhang, Xiaowei Wang. Reconfigurable Nonvolatile Photodetectors for Brain-Inspired Vision.[J]. ACS nano, 2026 doi:10.1021/acsnano.6c08097.
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