Owl-vision-inspired near sensor computing

Passive target detection in photon-starved environments is crucial to expand machine vision in a wide range of applications such as precision guidance, intelligent surveillance, and early warning. Here, inspired by owl vision, we report a bimodal synaptic transistor with an optoelectronic decoupling mechanism, enabling parallel photonic perception and electrical plasticity emulation. As a result, the device exhibits a high active adaptation index of approximately 331, alongside the ability to perceive low light intensities as faint as 0.146 nW cm^-2. We also achieve cyclically stable synaptic weight modulation with long-term enhancement and inhibition, and verify the feasibility of weight deployment across three basic artificial neural levels over a light intensity range of 0.146-11.70 nW cm^-2, via adaptive contrast enhancement. The owl-vision-inspired device establishes a hardware foundation forward in energy-efficient and low-light image processing for neuromorphic vision sensors.