Organic photonic synaptic transistors for bionic vision: From spectral engineering to flexible intelligent perception
Longlong Jiang, Shan Wu, Silu Feng, Heyi Huang, Wangyu Wu, Hong Han, Yao NiAbstract
Bionic intelligent visual perception systems have significant application prospects in fields such as autonomous driving and robotics, medical imaging and auxiliary diagnosis, security and monitoring. Achieving spectral perception through material design and device structure adjustment is the core foundation for building advanced bionic vision systems. Organic photonic synaptic transistors provide an ideal platform for spectral responses and synaptic plasticity simulations ranging from ultraviolet and visible light to infrared due to their rich material system, adjustable band, and flexible substrate compatibility. This review systematically summarizes the latest advancements in spectral perception of organic synaptic devices. First, it describes strategies for adjusting the perceptual spectrum of organic semiconductor devices, as well as mechanisms for regulating bionic synaptic behavior, such as interface traps and band engineering. Beyond traditional interface traps and band engineering, the critical role of exciton dynamics in optimizing synaptic weight update linearity is emphasized. Furthermore, a technical roadmap addressing mechanical robustness and algorithmic compensation is proposed to pave the way for low‐power, high‐efficiency bionic vision systems.