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A neuronal modeling paradigm in the presence of refractoriness

机译:存在耐火性的神经元建模范例

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A mathematical characterization of the membrane potential as an instantaneous return process in the presence of refractoriness is investigated for diffusion models of single neuron's activity, assuming that the firing threshold acts as an elastic barrier. Steady-state probability densities and asymptotic moments of the neuronal membrane potential are explicitly obtained in a form that is suitable for quantitative evaluations. For the Ornstein-Uhlenbeck (OU) and Feller neuronal models, closed form expression are obtained for asymptotic mean and variance of the neuronal membrane potential and an analysis of the different features exhibited by the above mentioned models is performed. (C) 2002 Elsevier Science Ireland Ltd. All rights reserved. [References: 10]
机译:对于单个神经元活动的扩散模型,假设激发阈值充当弹性屏障,研究了在存在耐火性的情况下膜电位作为瞬时返回过程的数学特征。神经元膜电位的稳态概率密度和渐近矩以适合定量评估的形式明确获得。对于Ornstein-Uhlenbeck(OU)和Feller神经元模型,获得了渐进均值和神经元膜电位方差的闭式表达,并对上述模型显示的不同特征进行了分析。 (C)2002 Elsevier Science Ireland Ltd.保留所有权利。 [参考:10]

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