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On a Generalized Leaky Integrate-and-Fire Model for Single Neuron Activity

机译:关于单个神经元活动的广义泄漏积分和射击模型

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Motivated by some experimental results of [13], the standard stochastic Leaky Integrate-and-Fire model for single neuron firing activity is generalized in a way to include evolutionary instantaneous time constant and resting potential. The main features of the ensuing Gauss-diffusion process are disclosed by making use of a space-time transformation leading to the Ornstein-Uhlenbeck process. On the grounds of simulations of the time course of the membrane potential, we are led to conclude that our generalized model well accounts for a variety of experimental recordings that appear to indicate that the standard model is inadequate to reproduce statistically reliable features of spike trains generated by certain types of cortical neurons.
机译:受[13]的一些实验结果的激励,针对单个神经元激发活动的标准随机泄漏积分和激发模型以一种包括进化瞬时时间常数和静息潜能的方式进行了概括。通过利用导致Ornstein-Uhlenbeck过程的时空变换,揭示了随后的高斯扩散过程的主要特征。基于对膜电位的时程模拟,我们得出结论,我们的通用模型很好地说明了各种实验记录,这些实验记录似乎表明标准模型不足以重现所产生的尖峰序列的统计可靠特征。通过某些类型的皮质神经元。

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