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Mean-reverting neuronal model based on two alternating patterns.
Biosystems ( IF 1.6 ) Pub Date : 2020-06-20 , DOI: 10.1016/j.biosystems.2020.104190
Nikita Ratanov 1
Affiliation  

A neuronal action potential model based on the generalised two-state Ornstein–Uhlenbeck process is studied. The model well describes all phases of a neuronal spike cycle, and the intrinsic parameters of the model have clear specification. Laplace transforms of a firing time are obtained explicitly. Formulae for the mean interspike intervals and their variances, as well as for the average duration of the relative refractory period are also obtained.



中文翻译:

基于两个交替模式的均值回复神经元模型。

研究了基于广义二态Ornstein-Uhlenbeck过程的神经元动作电位模型。该模型很好地描述了神经元突波周期的所有阶段,并且该模型的固有参数具有明确的规范。明确获得点火时间的拉普拉斯变换。还获得了平均峰值间隔及其方差以及相对不应期的平均持续时间的公式。

更新日期:2020-06-20
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