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A Parsimonious Granger Causality Formulation for Capturing Arbitrarily Long Multivariate Associations
High-frequency neuroelectric signals like electroencephalography (EEG) or magnetoencephalography (MEG) provide a unique opportunity to infer causal relationships between local activity of brain areas. While causal inference is commonly performed through classical Granger causality (GC) based on mult...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515122/ https://www.ncbi.nlm.nih.gov/pubmed/33267342 http://dx.doi.org/10.3390/e21070629 |