Owl-vision-inspired near sensor computing.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 41680170.
- Also identified by DOI 10.1038/s41467-026-69123-7 and PMC identifier 13009241.
- Licence recorded as CC BY-NC-ND.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
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<sup>-2</sup>. 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<sup>-2</sup>, 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.