Zheng Qianqian, Xu Yong, Shen Jianwei
School of Science, Xuchang University, Xuchang, Henan, China.
School of Mathematics and Statistics, Northwestern Polytechnical University, Xi'an, Shaanxi, China.
Front Netw Physiol. 2024 Mar 26;4:1362778. doi: 10.3389/fnetp.2024.1362778. eCollection 2024.
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.
本文研究了一个修正的 Hindmarsh-Rose(HR)模型的哈密顿能量,以观察其对短期记忆的影响。根据亥姆霍兹定理,在具有单个节点的约化系统中给出了哈密顿能量函数及其变量函数。我们考虑了耦合强度和神经元之间的连接在模式形成中的作用,以表明当所有神经元同步时,耦合和协作神经元对于产生放电或清晰的短期记忆是必要的。然后,我们考虑了神经元的度数和来自其他神经元的外部刺激对短期记忆出现和消失的影响,这表明产生短期记忆需要大量能量,并且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。