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Analyzing brain networks with PCA and conditional Granger causality
Identifying directional influences in anatomical and functional circuits presents one of the greatest challenges for understanding neural computations in the brain. Granger causality mapping (GCM) derived from vector autoregressive models of data has been employed for this purpose, revealing complex...
Enregistré dans:
| Publié dans: | Hum Brain Mapp |
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| Auteurs principaux: | , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Wiley Subscription Services, Inc., A Wiley Company
2008
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6871256/ https://ncbi.nlm.nih.gov/pubmed/18830956 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.20661 |
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