A Multifunctional and Efficient Artificial Visual Perception Nervous System with Sb<sub>2</sub>Se<sub>3</sub>/CdS‐Core/Shell (SC) Nanorod Arrays Optoelectronic Memristor
Yifei Pei, Zhiqiang Li, Bin Li, Ying Zhao, Hui He, Lei Yan, Xiaoyu Li, Jingjuan Wang, Zhen Zhao, Yong Sun, Zhenyu Zhou, Jianhui Zhao, Rui Guo, Jingsheng Chen, Xiaobing Yan
Abstract
Abstract More than 80% of biological learning information is received through the visual system; therefore, artificial vision systems have garnered continual interest in the field of artificial intelligence technologies. Simulating the activities of a range of human vision systems, such as discrimination, memory, and induced muscular activity, which still remains a challenge. The authors develop a high‐speed multifunctional artificial vision system capable of recognizing, memorizing, and actuating self‐protection by combining a Sb 2 Se 3 /CdS‐core/shell (SC) nanorod array optoelectronic memristor, a threshold‐switching memristor, and an electrochemical actuator. When an optoelectronic memristor is activated, it can cause an electrochemical actuator to move, simulating the eye muscle contraction and reproducing the self‐protection response of closing eyes when the human eyes are injured by intense light. Light absorption and charge carrier extraction are advantages of optoelectronic memristors with high‐quality SC nanorod arrays. The device achieves a fast response speed and a large response current of up to 40 µs and 0.8 µA. Artificial vision systems offer a potential technique for bionanotechnology, particularly in the domain of artificial intelligence simulation of biosensor systems.