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Partner‐matching for the automated identification of reproducible ICA components from fMRI datasets: Algorithm and validation
The analysis of functional magnetic resonance imaging (fMRI) data is complicated by the presence of a mixture of many sources of signal and noise. Independent component analysis (ICA) can separate these mixtures into independent components, each of which contains maximal information from a single, i...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Wiley Subscription Services, Inc., A Wiley Company
2007
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2574809/ https://ncbi.nlm.nih.gov/pubmed/18058813 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.20434 |
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