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From periodic travelling waves to travelling fronts in the spike-diffuse-spike model of dendritic waves

机译:树状波的尖峰扩散峰模型中的从周期性行波到行进前沿

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In the vertebrate brain excitatory synaptic contacts typically occur on the tiny evaginations of neuron dendritic surface known as dendritic spines. There is clear evidence that spine heads are endowed with voltage-dependent excitable channels and that action potentials invade spines. Computational models are being increasingly used to gain insight into the functional significance of a spine with an excitable membrane. The spike-diffuse-spike (SDS) model is one such model that admits to a relatively straightforward mathematical analysis. In this paper we demonstrate that not only can the SDS model support solitary travelling pulses, already observed numerically in more detailed biophysical models, but that it has periodic travelling wave solutions. The exact mathematical treatment of periodic travelling waves in the SDS model is used, within a kinematic framework, to predict the existence of connections between two periodic spike trains of different interspike interval. The associated wave front in the sequence of interspike intervals travels with a constant velocity without degradation of shape, and might therefore be used for the robust encoding of information. (C) 2001 Elsevier Science Inc. All rights reserved. [References: 26]
机译:在脊椎动物脑中,兴奋性突触接触通常发生在称为树突棘的神经元树突表面的微小疏散处。有明确的证据表明,脊柱头部具有依赖电压的兴奋性通道,并且动作电位会侵入脊柱。人们越来越多地使用计算模型来了解具有可激发膜的脊柱的功能重要性。尖峰-扩散-尖峰(SDS)模型就是这样一种模型,它允许进行相对简单的数学分析。在本文中,我们证明了SDS模型不仅可以支持已经在更详细的生物物理模型中进行数值观测的孤立行进脉冲,而且还具有周期性行波解。在运动学框架内,使用SDS模型中周期行波的精确数学处理来预测两个不同尖峰间隔的周期性尖峰序列之间的连接。尖峰间间隔序列中的关联波前以恒定速度传播而不会降低形状,因此可以用于信息的鲁棒编码。 (C)2001 Elsevier Science Inc.保留所有权利。 [参考:26]

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