Inferring the connectivity of coupled oscillators from time-series statistical similarity analysis.

ABSTRACT: A system composed by interacting dynamical elements can be represented by a network, where the nodes represent the elements that constitute the system, and the links account for their interactions, which arise due to a variety of mechanisms, and which are often unknown. A popular method for inferring the system connectivity (i.e., the set of links among pairs of nodes) is by performing a statistical similarity analysis of the time-series collected from the dynamics of the nodes. Here, by considering two systems of coupled oscillators (Kuramoto phase oscillators and Rössler chaotic electronic oscillators) with known and controllable coupling conditions, we aim at testing the performance of this inference method, by using linear and non linear statistical similarity measures. We find that, u

SUBMITTER: Tirabassi G 

PROVIDER: S-EPMC4455306 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature