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TOWARDS A PROTOCOL FOR ADAPTIVE DYNAMICAL BAYESIAN INFERENCE: CASE OF LIMIT-CYCLE OSCILLATORS

interactions between different dynamical systems, based on the measured time series originating from these systems. Based on an investigation of a known system of two coupled phase oscillators, an algorithm for improving this method has been proposed, by adaptively determining two parameters that were previously arbitrarily selected – the time window and the propagation parameter. This paper presents the results of the evaluation of the introduced algorithm on a second system of coupled oscillators limit-cycle Poincaré oscillators in the presence of noise. The performed analysis confirmed the relevance of the proposed algorithm for improved model inference, which allows for a deeper understanding of the interactions described by the coupling functions of the dynamical systems.