Identification Of Stationary And Unstationary Regimes Of Respiratory Neuron Network With Computer Using

Abstract

The problem of respiratory neuron networks (RNN) stationary regime’s identification was discussed. The method of minimal realization according to behaviorist approach was presented. It is based on compartmental-cluster theory of RNN when the order m of model presents the number of compartments. The software provides the identification of optimum interval of stimulus time – length according to calculation of the Perron roots of matrices A. The biological interpretation of the method is presented for one class of biological dynamic system (BDS) - respiratory neuron network.