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Neuronal networks with gap junctions: A study of piece-wise linear planar neuron models

机译:具有间隙连接的神经元网络:分段线性平面神经元模型的研究

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摘要

The presence of gap junction coupling among neurons of the central nervous systems has been appreciated for some time now. In recent years there has been an upsurge of interest from the mathematical community in understanding the contribution of these direct electrical connections between cells to large-scale brain rhythms. Here we analyze a class of exactly soluble single neuron models, capable of producing realistic action potential shapes, that can be used as the basis for understanding dynamics at the network level. This work focuses on planar piece-wise linear models that can mimic the firing response of several different cell types. Under constant current injection the periodic response and phase response curve (PRC) is calculated in closed form. A simple formula for the stability of a periodic orbit is found using Floquet theory. From the calculated PRC and the periodic orbit a phase interaction function is constructed that allows the investigation of phase-locked network states using the theory of weakly coupled oscillators. For large networks with global gap junction connectivity we develop a theory of strong coupling instabilities of the homogeneous, synchronous and splay state. For a piece-wise linear caricature of the Morris-Lecar model, with oscillations arising from a homoclinic bifurcation, we show that large amplitude oscillations in the mean membrane potential are organized around such unstable orbits.
机译:一段时间以来,人们已经认识到中枢神经系统神经元之间存在间隙连接偶联。近年来,数学界对理解细胞之间这些直接电连接对大规模脑节律的贡献产生了浓厚的兴趣。在这里,我们分析了一类完全可溶的单个神经元模型,能够产生逼真的动作电位形状,可以用作在网络一级理解动力学的基础。这项工作集中在平面分段线性模型上,该模型可以模拟几种不同电池类型的放电响应。在恒定电流注入下,以闭合形式计算周期响应和相位响应曲线(PRC)。利用Floquet理论可以找到一个简单的周期轨道稳定性公式。根据计算出的PRC和周期轨道,构造了一个相位相互作用函数,该函数允许使用弱耦合振荡器的理论来研究锁相网络状态。对于具有全局间隙连接连通性的大型网络,我们开发了一种均匀,同步和展开状态的强耦合不稳定性的理论。对于Morris-Lecar模型的分段线性讽刺漫画,其中同向分叉产生的振荡,表明在这种不稳定轨道周围组织了平均膜电位的大振幅振荡。

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  • 作者

    Coombes, Stephen;

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  • 年度 2008
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  • 原文格式 PDF
  • 正文语种 en
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