Detection of generalized synchronization using echo state networks

DOI10.1063/1.5010285zbMath1390.34135arXiv1710.08286OpenAlexW2765706868WikidataQ88234309 ScholiaQ88234309MaRDI QIDQ4565950

D. Ibáñez-Soria, Aureli Soria-Frisch, Unnamed Author, Jordi Garcia-Ojalvo

Publication date: 13 June 2018

Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1710.08286

Mathematics Subject Classification ID

Qualitative investigation and simulation of ordinary differential equation models (34C60)

Related Items (6)

The echo index and multistability in input-driven recurrent neural networks ⋮ Machine-learning construction of a model for a macroscopic fluid variable using the delay-coordinate of a scalar observable ⋮ Synchronization transmission of the target signal in the circuit network based on coupling technique ⋮ Parameter estimation and synchronization in the uncertain financial network ⋮ Transfer learning of chaotic systems ⋮ The reservoir’s perspective on generalized synchronization

Uses Software

• Oger

Cites Work

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• Reservoir computing approaches to recurrent neural network training
• Re-visiting the echo state property
• Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
• Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data
• Synchronization in chaotic systems
• Assessment of changing interdependencies between human electroencephalograms using nonlinear methods
• Synchronization likelihood: an unbiased measure of generalized synchronization in multivariate data sets

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