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Source density‐driven independent component analysis approach for fMRI data
Independent component analysis (ICA) has become a popular tool for functional magnetic resonance imaging (fMRI) data analysis. Conventional ICA algorithms including Infomax and FAST‐ICA algorithms employ the underlying assumption that data can be decomposed into statistically independent sources and...
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| Publié dans: | Hum Brain Mapp |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Wiley Subscription Services, Inc., A Wiley Company
2005
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6871729/ https://ncbi.nlm.nih.gov/pubmed/15832316 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.20100 |
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