不同情绪条件下基于记忆晶体管的巴甫洛夫狗特征记忆电路

IF 1.8 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Zexin Wang, Yan Yang, Yuan Xin, Dongqing Wang
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引用次数: 0

摘要

基于忆阻器的巴甫洛夫电路已被广泛研究,但大多数电路只有学习功能和遗忘功能,缺乏情感功能和特征记忆。这导致模拟巴甫洛夫电路实验不够逼真。本文在经典的巴甫洛夫电路上模拟了学习和三个遗忘过程,这与大脑的遗忘机制是一致的。然后,我们添加了特征记忆部分,包括情感模块、突触模块和特征开关模块。情绪模块具有积极和消极情绪功能,对记忆时间的影响不同,从而提高了对人类情绪行为的模仿能力。突触模块和特征切换模块实现了对不同事物的不同特征记忆,使电路的联想记忆能力更加逼真。通过这些改进,巴甫洛夫狗实验电路的功能更加接近生物机理。此外,还利用 LTSPICE 软件验证了所提电路的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pavlov dog feature memory circuit based on memristor under different emotional conditions
The memristor‐based Pavlov circuits have been extensively studied, but most of the circuits only have learning functions plus forgetting function, and lack emotional function and feature memory. This leads to not be realistic enough for simulating Pavlovian circuit experiments. In this paper, we simulate learning and three forgetting processes on the classic Pavlov circuit, which is consistent with the brain's forgetting mechanism. Then, we add feature memory part, which includes an emotion module, synapse modules, and feature switch modules. The emotion module with positive and negative emotion functions has different effects on memory time, so as to improve its imitating ability of human emotional behavior. The synapse modules and feature switching modules realize different feature memory for different things, so as to promote the circuit's associative memory ability to be more realistic. Through these improvements, the function of the Pavlov dog experiment circuit is more similar to biological mechanism. Furthermore, the LTSPICE software is used to verify the correctness of the proposed circuit.
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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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