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Biophysics 2023
磁流作用下网络神经元中簇放电的模式
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Abstract:
呼吸节律是哺乳动物重要的生理性活动，其产生机制一直受到广泛的关注。关于正常呼吸节律的形成机制，目前主要为起步细胞学说和神经网络学说。其中，神经元网络学说认为依赖于呼吸神经元之间的复杂相互作用。本文，我们主要研究磁流对吸气周期和呼气周期的影响，当呼吸网络中考虑磁流的影响时，网络中的呼吸节律将会表现出许多特性。由于哺乳动物的脑干呼吸中枢模式发生器(CPG)具有许多对生存至关重要的功能，而pre-B？tzinger复合体作为一种CPG，是呼吸节律产生的关键部位。本文研究在磁流作用下，pre-B？tzinger复合体网络系统的节律转迁，并从动力学的角度研究节律转迁的机制。结果表明磁流反馈系数k0对呼吸网络系统的节律模式和周期都具有重要影响。结果对呼吸节律的研究提供有益的参考。
Respiratory rhythm is an important physiological activity in mammals, and its production mecha-nism has been widely concerned. Regarding the normal respiratory rhythm formation mechanism, the main theory is the pacemaker theory and the network theory. Among them, the theory of neu-ronal networks believes that it relies on complex interactions between respiratory neurons. In this paper, the effects of magnetic flow are considered in the respiratory network, the respiratory rhythm in the network will exhibit many properties. As the brainstem respiratory central pattern generator (CPG) in mammals has many functions that are essential for survival, and the pre-B？tzinger complex, as one type of CPG, is a key site of respiratory rhythm generation. In this paper, we focus on the effect of magnetic currents on the inspiratory and expiratory cycles, and when the effect of magnetic currents is taken into account in a respiratory network, the rhythmic transition of the pre-B？tzinger complex network system under the action of magnetic currents is studied, and the mechanism of the rhythmic transition is investigated from a kinetic point of view. The results suggest that magnetic flow feedback coefficient k0 has an important influence on both the rhythmic pattern and the period of the respiratory network system. The results provide a bene-ficial reference for the study of respiratory rhythm in neural system.
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