2D Time‐Stretching Anisotropic Synapse Realizing In‐Sensor Intensity‐Spanning Visual Feature Fusion
Decai Ouyang, Mengqi Wang, Na Zhang, Wenke He, Da Huo, Yuan Li, Tianyou Zhai
Abstract
Abstract High‐dynamic‐range (HDR) visual environments, where extremely bright and dark regions coexist, pose major challenges for conventional imaging systems that rely on multi‐frame exposure fusion and cloud‐based post‐processing. These approaches often suffer from high latency, limited efficiency, and privacy concerns, making them unsuitable for real‐time or edge‐level intelligent vision. Here, a 2D Time‐Stretching Anisotropic Synapse (2D TSAS) is reported that enables in‐sensor intensity‐spanning feature fusion from a single image frame. The 2D TSAS uniquely integrates two key features of NbOI 2 material: in‐plane anisotropy, which gives rise to polarization‐resolved optical responses, and a time‐stretching photoresponse arising from multi‐channel transition‐relaxation. This dual‐mode mechanism enables direct encoding and temporal integration of spatial‐polarization and luminance features during photoexcitation. Leveraging this behavior, a neuromorphic preprocessing strategy is constructed for single‐shot visual learning across extreme brightness domains. The system achieves accelerated model convergence with minimal training loss, reaching recognition accuracies of ≈95.41% on NWPU‐RESISC45 and ≈95.39% on MNIST. This work offers a compact and efficient solution for contrast‐adaptive intelligent vision in complex real‐world environments.