Authors: Zilong Guo, Hao Kan, Jiaqi Zhang, Yang Li
Published: 2025-03-11
Source: Full article
AbstractRetina‐inspired optoelectronic neuromorphic devices integrating optical sensing and computation are the key components in realizing neuromorphic visual computing. In particular, UV‐responsive optoelectronic synaptic devices hold significant value for advanced neuromorphic vision systems, as they can expand human visual perception. Herein, we demonstrate a UV‐responsive optoelectronic synaptic device based on ZnMgO quantum dots (QDs) designed for in‐sensor computing in neuromorphic vision applications. The device demonstrates voltage‐driven short‐term and long‐term synaptic plasticity, as well as multiple photoinduced synaptic functions. Based on this device, an in‐sensor image‐blending encryption method has been designed, which can effectively reduce the risk of data leakage during transmission. Furthermore, an in‐sensor reservoir computing (RC) system with image processing functions is constructed, which integrates a photonic reservoir layer (PRL) for image preprocessing and a multilayer perceptron (MLP) capable of image recognition. The system achieves 98.6% accuracy in recognizing Fashion‐MNIST images and maintains 83% accuracy under 60% random noise, showcasing its robustness. This work introduces a novel approach for developing UV‐responsive optoelectronic synaptic devices equipped with dual‐mode modulation of both electrical and optical signals, offering new perspectives and solutions for integrated applications in neuromorphic vision systems.