Bifurcation and multiple timescale dynamics of mixed bursting in the neuronal model

IF 1.6 4区 物理与天体物理 Q3 PHYSICS, CONDENSED MATTER
Fen Ma, Lixia Duan, Zhihui Wang, Yong Zhao
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引用次数: 0

Abstract

Neurons within the pre-Bötzinger complex have been found experimentally to exhibit different firing activities. Mixed bursting is a special firing activities which has been found in neuron model and biological experiments. The traditional fast and slow dynamics analysis method encounters some difficulties in analyzing mixed bursting. Therefore, how to analyze the dynamic mechanism of mixed bursting generation and transition is a very important issue. In this paper, based on fast-slow decomposition, multiple timescale dynamics and one- and two-parameter bifurcation analysis, we investigate the mixed bursting and their transition mechanisms in pre-Bötzinger complex neurons. The results show that the generation mechanism of the mixed bursting is related to the multiple timescale of the neuron model. The results obtained in this paper is instructive for further understanding the dynamical behaviours and generation mechanisms of complex firing activities in biological nervous systems.

Abstract Image

Abstract Image

神经元模型中混合猝发的分岔和多时标动力学
摘要 实验发现,前博琴格复合体中的神经元表现出不同的发射活动。混合猝发是神经元模型和生物实验中发现的一种特殊的发射活动。传统的快慢动力学分析方法在分析混合猝发时遇到了一些困难。因此,如何分析混合猝发产生和转换的动态机制是一个非常重要的问题。本文基于快慢分解、多时标动力学以及一参数和二参数分岔分析,研究了前伯琴格复合神经元的混合猝发及其转换机制。结果表明,混合猝发的产生机制与神经元模型的多时标有关。本文获得的结果对进一步理解生物神经系统中复杂发射活动的动力学行为和产生机制具有指导意义。
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来源期刊
The European Physical Journal B
The European Physical Journal B 物理-物理:凝聚态物理
CiteScore
2.80
自引率
6.20%
发文量
184
审稿时长
5.1 months
期刊介绍: Solid State and Materials; Mesoscopic and Nanoscale Systems; Computational Methods; Statistical and Nonlinear Physics
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