Механизмы генерации спайков в кусочно-гладкой модели Рулькова под действием параметрического шума

Abstract

In this paper a piecewise Rulkov model of neural activity is considered. We study the mechanisms of spike generation caused by the random behavior of one of the parameters. Using the confidence interval method, two main mechanisms for spike generation are described. The main statistical characteristics of interspike intervals are calculated depending on the noise intensity.