Birdlike broadband neuromorphic visual sensor arrays for fusion imaging

作者：Pengshan Xie, Yunchao Xu, Jingwen Wang, Dengji Li, Yuxuan Zhang, Zixin Zeng, Boxiang Gao, Quan Quan, Bowen Li, You Meng, Weijun Wang, Yezhan Li, Yan Yan, Yi Shen, Jia Sun, Johnny C. Ho · 发表于：Nature Communications · 年份：2024 · DOI：10.1038/s41467-024-52563-4 · 被引用次数：59 · 研究领域：Advanced Memory and Neural Computing、CCD and CMOS Imaging Sensors、Infrared Target Detection Methodologies

Wearable visual bionic devices, fueled by advancements in artificial intelligence, are making remarkable progress. However, traditional silicon vision chips often grapple with high energy losses and challenges in emulating complex biological behaviors. In this study, we constructed a van der Waals P3HT/GaAs nanowires P-N junction by carefully directing the arrangement of organic molecules. Combined with a Schottky junction, this facilitated multi-faceted birdlike visual enhancement, including broadband non-volatile storage, low-light perception, and a near-zero power consumption operating mode in both individual devices and 5 × 5 arrays on arbitrary substrates. Specifically, we realized over 5 bits of in-memory sensing and computing with both negative and positive photoconductivity. When paired with two imaging modes (visible and UV), our reservoir computing system demonstrated up to 94% accuracy for color recognition. It achieved motion and UV grayscale information extraction (displayed with sunscreen), leading to fusion visual imaging. This work provides a promising co-design of material and device for a broadband and highly biomimetic optoelectronic neuromorphic system. Traditional silicon vision chips often challenge in emulating complex biological behaviors. This work reports birdlike broadband neuromorphic visual sensor arrays with 5 bits of in-memory sensing and computing. The built reservoir computing system achieves motion and UV grayscale information extraction, lea...