改进的 Hindmarsh-Rose 模型中的哈密顿能量

Qianqian Zheng, Yong Xu, Jianwei Shen
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引用次数: 0

摘要

本文研究了改进的辛德马什-罗斯(HR)模型的哈密顿能量,以观察其对短时记忆的影响。根据亥姆霍兹定理,在具有单节点的简化系统中给出了哈密顿能量函数及其变量函数。我们考虑了神经元之间的耦合强度和联系在模式形成中的作用,以证明当所有神经元同步时,耦合和合作神经元是产生火警或清晰短时记忆的必要条件。然后,我们考虑了其他神经元的程度和外部刺激对短期记忆出现和消失的影响,说明产生短期记忆需要大量能量,而耦合强度可以进一步降低能量消耗。最后,总结了短期记忆产生的动力学机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hamiltonian energy in a modified Hindmarsh–Rose model
This paper investigates the Hamiltonian energy of a modified Hindmarsh–Rose (HR) model to observe its effect on short-term memory. A Hamiltonian energy function and its variable function are given in the reduced system with a single node according to Helmholtz’s theorem. We consider the role of the coupling strength and the links between neurons in the pattern formation to show that the coupling and cooperative neurons are necessary for generating the fire or a clear short-term memory when all the neurons are in sync. Then, we consider the effect of the degree and external stimulus from other neurons on the emergence and disappearance of short-term memory, which illustrates that generating short-term memory requires much energy, and the coupling strength could further reduce energy consumption. Finally, the dynamical mechanisms of the generation of short-term memory are concluded.
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