Small (Weinheim an der Bergstrasse, Germany) · 2022
Multimodal-Synergistic-Modulation Neuromorphic Imaging Systems for Simulating Dry Eye Imaging.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Han Xu, Zhao Xiaoli, Zeng Tao, Yang Yahan, Yu Hongyan, Zhang Cong, Wang Bin, Liu Xiaoqian, Zhang Tao, Sun Jing, Li Xinyuan, Zhao Tuo, Zhang Mingxin, Ni Yanping, Tong Yanhong, Tang Qingxin, Liu Yichun
Аннотация
Inspired by human eyes, the neuromorphic visual system employs a highly efficient imaging and recognition process, which offers tremendous advantages in image acquisition, data pre-processing, and dynamic storage. However, it is still an enormous challenge to simultaneously simulate the structure, function, and environmental adaptive behavior of the human eye based on one device. Here, a multimodal-synergistic-modulation neuromorphic imaging system based on ultraflexible synaptic transistors is successfully presented and firstly simulates the dry eye imaging behavior at the device level. Moreover, important functions of the human visual system in relation to optoelectronic synaptic plasticity, image erasure and enhancement, real-time preprocessing, and dynamic storage are simulated by versatile devices. This work not only simplifies the complexity of traditional neuromorphic visual systems, but also plays a positive role in the publicity of biomedical eye care.