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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Vydáno v:PeerJ Comput Sci
Hlavní autoři: Antonacci, Yuri, Minati, Ludovico, Faes, Luca, Pernice, Riccardo, Nollo, Giandomenico, Toppi, Jlenia, Pietrabissa, Antonio, Astolfi, Laura
Médium: Artigo
Jazyk:Inglês
Vydáno: PeerJ Inc. 2021
Témata:
Algorithms and Analysis of Algorithms
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC8157130/
https://ncbi.nlm.nih.gov/pubmed/34084917
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj-cs.429
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