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Effects of coupling and heterogeneity in the pre-Botzinger complex cells using first return maps.

机译:使用第一返回图谱对前Botzinger复杂细胞中偶联和异质性的影响。

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摘要

The pre-Botzinger complex located at the ventrolateral medulla in the brainstem is believed to have an important role in generating the respiratory rhythm in mammals, specially the inspiratory process [56]. Keeping this in mind, we will study a small network of such cells by means of a minimal model suggested and experimentally tested by Butera et al [6, 7]. A thorough analysis of the Butera model was done for two very small networks of pre-Botzinger cells: a self coupled single cell and a network of two coupled cells [5]. In order to understand the role of coupling and heterogeneity in these two particular networks we reduce the self coupled single cell network to a one dimensional map using a similar approach as in [37]. Using this one dimensional map, some analytical conditions for switching from one regime to another are determined and numerical results are shown. Using the same idea as for the self coupled single cell case, two identical coupled cells are reduced to a two dimensional iterated map which is a composition of many one dimensional maps. Using the form of these maps, mechanisms for the transition between previously observed regimes [5] are determined and linear analysis is performed for a particular set of parameters.;Introducing heterogeneity on the network of two coupled identical cells, for a fixed level of synaptic input, shows that depending on the level of the synaptic input some different behaviors arise which were not previously observed in a network of homogenous cells [5]. These results suggest that introducing heterogeneity can increase the range in the parameter space for which cells are bursting. This is desirable, since from experiments it is observed that bursting is associated with the inspiratory rhythm of respiration.
机译:据信位于脑干腹外侧延髓的前柏青格复合体在哺乳动物的呼吸节律的产生中起着重要作用,特别是在吸气过程中[56]。牢记这一点,我们将通过Butera等[6,7]提出并通过实验测试的最小模型研究此类细胞的小型网络。对Butera模型的两个非常小的网络进行了彻底的Butera模型分析:一个自耦合单细胞和两个耦合细胞的网络[5]。为了理解耦合和异质性在这两个特定网络中的作用,我们使用与[37]中类似的方法将自耦合单细胞网络简化为一维图。使用此一维图,确定了从一种状态切换到另一种状态的一些分析条件,并显示了数值结果。使用与自耦合单细胞情况相同的思想,将两个相同的耦合细胞简化为二维迭代图,该迭代图由许多一维图组成。使用这些图的形式,确定先前观察到的模式之间的过渡机制[5],并对一组特定参数进行线性分析。;在两个耦合的相同细胞的网络中引入异质性,以固定水平的突触输入表明,根据突触输入的水平,会出现一些以前在同质细胞网络中未观察到的不同行为[5]。这些结果表明,引入异质性可以增加细胞爆发的参数空间范围。这是合乎需要的,因为从实验中观察到爆发与呼吸的吸气节奏有关。

著录项

  • 作者

    Manica, Evandro.;

  • 作者单位

    University of Pittsburgh.;

  • 授予单位 University of Pittsburgh.;
  • 学科 Neurosciences.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 119 p.
  • 总页数 119
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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