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Independent component analysis of fMRI data: Examining the assumptions
Independent component analysis (ICA), which separates fMRI data into spatially independent patterns of activity, has recently been shown to be a suitable method for exploratory fMRI analysis. The validity of the assumptions of ICA, mainly that the underlying components are spatially independent and...
Uloženo v:
| Vydáno v: | Hum Brain Mapp |
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| Hlavní autoři: | , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
John Wiley & Sons, Inc.
1998
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6873375/ https://ncbi.nlm.nih.gov/pubmed/9788074 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/(SICI)1097-0193(1998)6:5/6<368::AID-HBM7>3.0.CO;2-E |
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