Badel Laurent, Gerstner Wulfram, Richardson Magnus J E
Ecole Polytechnique Fédérale de Lausanne, Laboratory of Computational Neuroscience, School of Computer and Communication Sciences and Brain Mind Institute, Lausanne, Switzerland.
Phys Rev E Stat Nonlin Soft Matter Phys. 2008 Jul;78(1 Pt 1):011914. doi: 10.1103/PhysRevE.78.011914. Epub 2008 Jul 22.
A path-integral approach is developed for the analysis of spike-triggered average quantities in neurons with voltage-gated subthreshold currents. Using a linearization procedure to reduce the models to the generalized integrate-and-fire form, analytical expressions are obtained in an experimentally relevant limit of fluctuation-driven firing. The influences of voltage-gated channels as well as excitatory and inhibitory synaptic filtering are shown to affect significantly the neuronal dynamics prior to the spike. Analytical forms are given for all relevant physiological quantities, such as the mean voltage triggered to the spike, mean current flowing through voltage-gated channels, and the mean excitatory and inhibitory conductance waveforms prior to a spike. The mathematical results are shown to be in good agreement with numerical simulations of the underlying nonlinear conductance-based models. The method promises to provide a useful analytical tool for the prediction and interpretation of the temporal structure of spike-triggered averages measured experimentally.
我们开发了一种路径积分方法,用于分析具有电压门控阈下电流的神经元中与尖峰触发平均量相关的情况。通过线性化过程将模型简化为广义积分发放形式,在波动驱动发放的实验相关极限下获得了解析表达式。结果表明,电压门控通道以及兴奋性和抑制性突触滤波的影响会显著影响尖峰之前的神经元动力学。给出了所有相关生理量的解析形式,例如触发尖峰的平均电压、流过电压门控通道的平均电流以及尖峰之前的平均兴奋性和抑制性电导波形。数学结果与基于非线性电导的基础模型的数值模拟结果吻合良好。该方法有望为预测和解释实验测量的尖峰触发平均值的时间结构提供一个有用的分析工具。