Исследование стохастической возбудимости в модели ферментативной кинетики

Abstract

We study the influence of noise on the Goldbeter model of the enzymatic reaction. The phenomenon of stochastic excitability is demonstrated and studied. For the parametric analysis of this phenomenon, the stochastic sensitivity functions technique and the method of confidence areas are used. Statistical analysis of the noise-induced spiking oscillations is carried out. The phenomenon of the "phantom" attractor is investigated.