Multifunctional Neuromorphic Vision Enabled by Photo‐Regulated Radical
Abstract
ABSTRACT Neuromorphic vision systems process information directly at the sensor front end, offering a promising hardware pathway for next‐generation machine vision. However, current implementations are typically restricted to single functions and rely on device mechanisms that limit scalability, uniformity and miniaturization, highlighting the need for multifunctional and integrable neuromorphic hardware. Herein, we introduce a photo‐regulated doping strategy enabled by galvinoxyl radicals (GX) as wavelength‐dependent bipolar dopants, in which radical‐mediated charge transfer enables wavelength‐dependent optical switching between excitatory and inhibitory responses within a single‐layer neuromorphic device. This mechanism supports high photoresponse and programmable synaptic dynamics, allowing the construction of a large‑scale (256 × 256) neuromorphic vision system that integrates dynamic motion detection, spatiotemporal memory, and contrast‐enhanced edge extraction. This work provides a potent hardware solution for complex dynamic scenarios, establishing a scalable pathway toward fully integrated, high‐performance neuromorphic vision system.
Article Details
Authors (8)
Qiu Li
Cong Shan
Song Wang
Haigen Xiong
College of Materials Science and Opto‐Electronic Technology University of Chinese Academy of Sciences Beijing 100049 P.R. China
Qijie Lin
College of Materials Science and Optoelectronic Technology, Center of Materials Science and Optoelectronics Engineering, CAS Center for Excellence in Topological Quantum Computation, CAS Key Laboratory of Vacuum Physics
Yincheng Zhang
College of Materials Science and Opto‐Electronic Technology University of Chinese Academy of Sciences Beijing P. R. China
Hao Chen
Hui Huang
Center of Basic Molecular Science (CBMS), Department of Chemistry