基于忆阻器的类脑仿生电路设计

IF 1.6 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Lixin Liu
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引用次数: 0

摘要

在这项工作中,受人脑神经机制的启发,提出了一种基于视觉信息处理的类脑仿生电路。该电路主要由测试模块、认知模块、分类模块和输出模块组成。认知模块模仿大脑中记忆神经元的功能,在接受视觉信息刺激的同时产生存储信息的记忆电位。分类模块模仿视觉皮层的功能,实现从记忆到行动的转换。我用LTspice验证了该电路进行信息处理的可行性。本研究为电子产品视觉信息处理技术的未来发展提供了新的思路和见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Brain-Like Biomimetic Circuit Design Based on Memristor

In this work, inspired by the neural mechanisms of the human brain, a brain-like biomimetic circuit based on visual information processing is proposed. The circuit is mainly composed of test module, cognitive module, categorization module, and output module. The cognitive module mimics the function of memory neurons in the brain, generating memory potentials to store information while receiving visual information stimuli. The categorization module mimics the function of the visual cortex, enabling the conversion from memory to action. I verified the feasibility of this circuit for information processing using LTspice. This study provides new ideas and insights for the future development of visual information processing technology for electronic products.

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来源期刊
International Journal of Circuit Theory and Applications
International Journal of Circuit Theory and Applications 工程技术-工程:电子与电气
CiteScore
3.60
自引率
34.80%
发文量
277
审稿时长
4.5 months
期刊介绍: The scope of the Journal comprises all aspects of the theory and design of analog and digital circuits together with the application of the ideas and techniques of circuit theory in other fields of science and engineering. Examples of the areas covered include: Fundamental Circuit Theory together with its mathematical and computational aspects; Circuit modeling of devices; Synthesis and design of filters and active circuits; Neural networks; Nonlinear and chaotic circuits; Signal processing and VLSI; Distributed, switched and digital circuits; Power electronics; Solid state devices. Contributions to CAD and simulation are welcome.
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