Ibáñez Soria, David, 1983-García Ojalvo, JordiSoria Frisch, AureliRuffini, G.2018-05-042018Ibáñez-Soria D, Garcia-Ojalvo J, Soria-Frisch A, Ruffini G. Detection of generalized synchronization using echo state networks. Chaos. 2018 Mar;28(3):033118. DOI: 10.1063/1.50102851054-1500http://hdl.handle.net/10230/34556Generalized synchronization between coupled dynamical systems is a phenomenon of relevance in applications that range from secure communications to physiological modelling. Here, we test the capabilities of reservoir computing and, in particular, echo state networks for the detection of generalized synchronization. A nonlinear dynamical system consisting of two coupled Rössler chaotic attractors is used to generate temporal series consisting of time-locked generalized synchronized sequences interleaved with unsynchronized ones. Correctly tuned, echo state networks are able to efficiently discriminate between unsynchronized and synchronized sequences even in the presence of relatively high levels of noise. Compared to other state-of-the-art techniques of synchronization detection, the online capabilities of the proposed Echo State Network based methodology make it a promising choice for real-time applications aiming to monitor dynamical synchronization changes in continuous signals.application/pdfeng© American Institute of Physics. The following article appeared in Ibáñez-Soria et al., Chaos. 28, 2018 and may be found at https://doi.org/10.1063/1.5010285info:eu-repo/semantics/articlehttp://dx.doi.org/10.1063/1.5010285Reservoir computingGeneralized synchronizationEcho state networksinfo:eu-repo/semantics/embargoedAccess