神经形态工程学
明视
适应(眼睛)
记忆电阻器
光电子学
材料科学
计算机科学
计算机体系结构
神经科学
人工智能
电子工程
工程类
心理学
人工神经网络
视网膜
作者
Jiajuan Shi,Shanshan Qiao,Xuanyu Shan,Zhuangzhuang Li,Zhipeng Li,Chunliang Wang,Ye Tao,Xiaoning Zhao,Ya Lin,Zhongqiang Wang
出处
期刊:Nanomaterials
[Multidisciplinary Digital Publishing Institute]
日期:2025-04-11
卷期号:15 (8): 579-579
被引量:1
摘要
Visual adaptation is one of the most significant features that helps organisms process complicated image information in time-varying environments. Emulating this function is highly desirable for energy-efficient image perception. In this work, we demonstrate an yttrium oxide (Y2O3)-based optoelectronic memristor and emulate photopic adaptation behavior in a single device. Decay amplitude and photosensitivity are indexed to describe the time-dependent characteristics of photopic adaptation. An intensity-dependent characteristic, namely Weber's law, is also investigated in this work. Photopic adaptation originates from the trapping of photogenerated carriers in oxygen vacancies. Based on photopic adaptation behavior, a neuromorphic vision system capable of adapting to environmental brightness is constructed using the proposed optoelectronic memristor array. Memristor arrays can emulate sensing and adaptation functions in order to enhance images against bright backgrounds. Our work provides a feasible pathway toward self-adaptive neuromorphic vision systems.
科研通智能强力驱动
Strongly Powered by AbleSci AI