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首页> 外文期刊>Journal of Computational Neuroscience >The parameters of the stochastic leaky integrate-and-fire neuronal model
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The parameters of the stochastic leaky integrate-and-fire neuronal model

机译：随机泄漏积分与发射神经元模型的参数

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摘要

Five parameters of one of the most common neuronal models, the diffusion leaky integrate-and-fire model, also known as the Ornstein-Uhlenbeck neuronal model, were estimated on the basis of intracellular recording. These parameters can be classified into two categories. Three of them (the membrane time constant, the resting potential and the firing threshold) characterize the neuron itself. The remaining two characterize the neuronal input. The intracellular data were collected during spontaneous firing, which in this case is characterized by a Poisson process of interspike intervals. Two methods for the estimation were applied, the regression method and the maximum-likelihood method. Both methods permit to estimate the input parameters and the membrane time constant in a short time window (a single interspike interval). We found that, at least in our example, the regression method gave more consistent results than the maximum-likelihood method. The estimates of the input parameters show the asymptotical normality, which can be further used for statistical testing, under the condition that the data are collected in different experimental situations. The model neuron, as deduced from the determined parameters, works in a subthreshold regimen. This result was confirmed by both applied methods. The subthreshold regimen for this model is characterized by the Poissonian firing. This is in a complete agreement with the observed interspike interval data.
机译：在细胞内记录的基础上，估计了最常见的神经元模型之一的五个参数，扩散泄漏积分并发射模型，也称为Ornstein-Uhlenbeck神经元模型。这些参数可以分为两类。其中三个（膜时间常数，静息电位和触发阈值）表征了神经元本身。其余两个代表神经元输入。细胞内数据是在自发放电过程中收集的，在这种情况下，特征在于峰间间隔的泊松过程。应用了两种估计方法，回归方法和最大似然方法。两种方法都允许在短时间窗口（单个尖峰间隔）中估计输入参数和膜时间常数。我们发现，至少在我们的示例中，回归方法比最大似然法给出的结果更一致。输入参数的估计值显示出渐近正态性，在数据是在不同实验情况下收集的情况下，可以进一步用于统计测试。根据确定的参数推导的模型神经元以亚阈值方案工作。两种应用方法均证实了这一结果。该模型的亚阈值疗法的特征在于泊松射击。这与观察到的尖峰间间隔数据完全一致。

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