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Memristor-Based Neural Network Circuit of Emotion Congruent Memory With Mental Fatigue and Emotion Inhibition
IEEE Transactions on Biomedical Circuits and Systems ( IF 5.1 ) Pub Date : 2021-06-22 , DOI: 10.1109/tbcas.2021.3090786
Junwei Sun , Juntao Han , Yanfeng Wang , Peng Liu

Most memristor-based neural networks only consider a single mode of memory or emotion, but ignore the relationship between emotion and memory. In this paper, a memristor-based neural network circuit of emotion congruent memory is proposed and verified by the simulation results. The designed circuit consists of a memory module, an emotion module and an association neuron module. Varieties of memory and emotion functions are considered. The functions such as learning, forgetting, variable rate and emotion generation are implemented by the circuit. Furthermore, mental fatigue and emotion inhibition which are two important self-protective measures of the brain are realized in this paper on the basis of emotion congruent memory. Finally, the paper also considers the congruence between emotion and memory materials and the regulation of emotion on memory. The neural network circuit of emotion congruent memory can provide more references for the application of memristor.

中文翻译:

基于忆阻器的情绪一致性记忆神经网络电路与精神疲劳和情绪抑制

大多数基于忆阻器的神经网络只考虑单一模式的记忆或情绪,而忽略了情绪与记忆之间的关系。本文提出了一种基于忆阻器的情绪一致性记忆神经网络电路,并通过仿真结果进行了验证。设计的电路由记忆模块、情感模块和联想神经元模块组成。考虑了各种记忆和情绪功能。学习、遗忘、可变速率和情感生成等功能由电路实现。此外,本文在情绪一致性记忆的基础上实现了大脑的两种重要的自我保护措施——精神疲劳和情绪抑制。最后,本文还考虑了情绪与记忆材料的一致性以及情绪对记忆的调节作用。
更新日期:2021-08-13
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