Abstract
This study presents numerical simulations of a mathematical model of a type-A medial vestibular nucleus neuron (mVNn). This model is described by a system of nonlinear ordinary differential equations based on the Hodgkin–Huxley concept. The focus is on three system parameters: the injected current (Iapp), the maximal transient potassium conductance (gA), and the inactivation time constant of this conductance (τb). Simulations showed that as Iapp decreases, the model’s dynamical state transitions as follows: repetitive spiking state → mixed-mode oscillation state → quiescent state. Additionally, the sensitivities of these three dynamical states to variations in gA and τb are revealed. These findings deepen our understanding of the dynamics of the type-A mVNn model.
Published Version
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