Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators

One of the most challenging problems in the study of complex dynamical systems is to find the statistical interdependencies among the system components. Granger causality (GC) represents one of the most employed approaches, based on modeling the system dynamics with a linear vector autoregressive (V...

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Detalles Bibliográficos
Autores principales: Antonacci, Yuri, Minati, Ludovico, Faes, Luca, Pernice, Riccardo, Nollo, Giandomenico, Toppi, Jlenia, Pietrabissa, Antonio, Astolfi, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Algorithms and Analysis of Algorithms
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8157130/
https://www.ncbi.nlm.nih.gov/pubmed/34084917
http://dx.doi.org/10.7717/peerj-cs.429

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8157130/
https://www.ncbi.nlm.nih.gov/pubmed/34084917
http://dx.doi.org/10.7717/peerj-cs.429

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