An interpolative based dynamical model for the Vestibular Nucleus

The paper proposes an dynamical model of the Vestibular Nucleus. An adaptive character is obtained with a set of Parameter Interpolators, an interpolator for each parameter of the model. All the interpolators have the same input signal, namely the mean firing rate of the Vestibular Nucleus neurons. The design of the interpolative dynamical model is the third step in an ongoing research. The paper presents the research methodology, the way in which the Parameter Interpolators were obtained and the validation manner. For this purpose Bode plots are utilized. The resulted accuracy is from a practical point of view reasonable, below 1 dB respectively below 2.5 degrees in respect with the reference frequency characteristics.