基于自供电光电记忆电阻和阈值开关记忆的仿生自适应神经元在神经形态视觉系统中的应用。

IF 14.1 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Yankun Cheng, Junchao Zhang, Ya Lin, Zhongqiang Wang, Xuanyu Shan, Ye Tao, Xiaoning Zhao, Haiyang Xu, Yichun Liu
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引用次数: 0

摘要

视觉自适应可使生物在不同的光线条件下通过自主调整光敏度来有效分析视觉信息,这对于视觉系统在复杂环境中进行准确感知至关重要。为了真正实现视觉系统的功能,人们非常希望探索具有自适应能力的生物启发电子学。本文开发了一种基于氧化锌/氧化氧化物异质结的自供电光电忆阻器,该忆阻器可表现出脱敏和韦伯定律的视觉适应功能。这些功能是通过光伏效应与异质结空间电荷区电子捕获的耦合实现的。此外,还构建了一个生物启发视觉自适应神经元,它由一个光电忆阻器和一个基于氧化铌的阈值开关存储器组成,能够直接将恒定的光刺激转换为动态尖峰列车。最后,还实现了自适应图像预处理,从而提高了过曝图像识别过程中的物体识别准确率。这项研究为开发生物学上可信的视觉适应提供了一种新方法,促进了动态神经形态视觉系统的未来发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Bioinspired Adaptive Neuron Enabled by Self-powered Optoelectronic Memristor and Threshold Switching Memory for Neuromorphic Visual System

Bioinspired Adaptive Neuron Enabled by Self-powered Optoelectronic Memristor and Threshold Switching Memory for Neuromorphic Visual System

Bioinspired Adaptive Neuron Enabled by Self-powered Optoelectronic Memristor and Threshold Switching Memory for Neuromorphic Visual System

Bioinspired Adaptive Neuron Enabled by Self-powered Optoelectronic Memristor and Threshold Switching Memory for Neuromorphic Visual System

Visual adaptation allows organisms to effectively analyze visual information in varying light conditions by autonomously adjusting photosensitivity, which is essential for the visual system to perform accurate perception in complex environments. In order to realistically implement the functionality of the visual system, the exploration of bioinspired electronics with adaptive capability is highly desired. Herein, a self-powered optoelectronic memristor based on ZnO/WOx heterojunction is developed, which can exhibit the visual adaptation functions of desensitization and Weber's law. These functions are achieved through the coupling of the photovoltaic effect with electron trapping in the space charge region of the heterojunction. Furthermore, a bioinspired visual adaptive neuron has been constructed, comprising an optoelectronic memristor and a NbOx-based threshold switching memory, capable of directly converting constant light stimuli into dynamic spike trains. Finally, the adaptive image preprocessing is realized, which promotes the improvement of the object recognition accuracy during the overexposed image recognition process. This study offers a novel approach to developing biologically plausible visual adaptation, fostering the future progress of dynamic neuromorphic visual systems.

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来源期刊
Advanced Science
Advanced Science CHEMISTRY, MULTIDISCIPLINARYNANOSCIENCE &-NANOSCIENCE & NANOTECHNOLOGY
CiteScore
18.90
自引率
2.60%
发文量
1602
审稿时长
1.9 months
期刊介绍: Advanced Science is a prestigious open access journal that focuses on interdisciplinary research in materials science, physics, chemistry, medical and life sciences, and engineering. The journal aims to promote cutting-edge research by employing a rigorous and impartial review process. It is committed to presenting research articles with the highest quality production standards, ensuring maximum accessibility of top scientific findings. With its vibrant and innovative publication platform, Advanced Science seeks to revolutionize the dissemination and organization of scientific knowledge.
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