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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...
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| 發表在: | Entropy (Basel) |
|---|---|
| Main Authors: | , , , , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
MDPI
2019
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7515122/ https://ncbi.nlm.nih.gov/pubmed/33267342 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e21070629 |
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