Yao Wei, Gao Kai, Wang You, Lin Hairong, Wu Hongwei, Xu Cong, Zhang Xin
School of Computer and Communication Engineering, Changsha University of Science & Technology, Changsha, 410114, China; State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China.
School of Computer and Communication Engineering, Changsha University of Science & Technology, Changsha, 410114, China.
Neural Netw. 2025 Aug;188:107502. doi: 10.1016/j.neunet.2025.107502. Epub 2025 Apr 26.
Most existing research on affective associative memory neural network circuits has predominantly concentrated on reinforcement and extinction, with insufficient attention given to the integration of emotion transfer alongside the principles of generalization and differentiation. To enhance the functionality of associative memory, this paper introduces a memristor-based affective associative memory neural network that incorporates generalization and differentiation under emotion transfer. The circuit implementation is carried out using PSPICE. The capabilities of learning, forgetting, emotion transfer, as well as generalization and differentiation under emotion transfer, are effectively realized and validated through simulation results. By examining generalization and differentiation under emotion transfer, this study presents an innovative approach to the field of affective associative memory neural networks based on memristors, particularly in relation to complex biological behaviors.
大多数现有的关于情感联想记忆神经网络电路的研究主要集中在强化和消退方面，而对情感转移与泛化和分化原则的整合关注不足。为了增强联想记忆的功能，本文引入了一种基于忆阻器的情感联想记忆神经网络，该网络在情感转移下纳入了泛化和分化。电路实现使用PSPICE进行。通过仿真结果有效地实现并验证了学习、遗忘、情感转移以及情感转移下的泛化和分化能力。通过研究情感转移下的泛化和分化，本研究为基于忆阻器的情感联想记忆神经网络领域提出了一种创新方法，特别是在复杂生物行为方面。
