呼吸系统耦合神经元模型中树突型混合簇放电的动力学研究  

Dynamical Analysis of Dendritic Mixed Bursting in a Coupled-Neuron Model of the Respiratory System

作　　者：赵林帆 

机构地区：[1]北京邮电大学理学院,北京

出　　处：《动力系统与控制》2024年第1期33-44,共12页Dynamical Systems and Control

摘　　要：呼吸是哺乳动物必不可少的生理活动,对维持正常身体功能和生存起着关键作用。位于脑干中延髓外侧区的pre-Bötzinger复合体是哺乳动物产生和调节呼吸节律的中枢部位。本文以耦合pre-Bötzinger复合体中的神经元为研究对象,运用快慢动力学和分岔分析等方法,讨论了三磷酸肌醇浓度对耦合神经元树突型混合簇放电的影响,并揭示了若干树突型混合簇放电模式产生和转迁的动力学机制。研究发现,三磷酸肌醇浓度对树突型混合簇放电的类型和周期具有显著影响。For mammals, respiration movement is an essential life process that plays a key role in keeping proper body function and survival. The pre-Bötzinger complex in the ventrolateral medulla is a central part of mammals that generates and regulates respiratory rhythm. In this paper, we use the fast-slow decomposition and bifurcation analysis to investigate the effects of inositol triphosphate concentration on dendritic mixed bursting of the two-coupled pre-Bötzinger complex neurons. The research indicates that inositol triphosphate concentration significantly affects both bursting pattern and periodic of the dendritic mixed bursting. Furthermore, we also reveal the dynamical mechanisms underlying the generation and transition of dendritic mixed bursting.

关 键 词：Pre-B?tzinger复合体 树突型混合簇放电 分岔分析 快慢变量分离 

分 类 号：R74[医药卫生—神经病学与精神病学]