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- URN zum Zitieren dieses Dokuments:
- urn:nbn:de:bvb:355-epub-431976
- DOI zum Zitieren dieses Dokuments:
- 10.5283/epub.43197
Zusammenfassung
Independent component analysis (ICA), being a data-driven method, has been shown to be a powerful tool for functional magnetic resonance imaging (fMRI) data analysis. One drawback of this multivariate approach is that it is not, in general, compatible with the analysis of group data. Various techniques have been proposed to overcome this limitation of ICA. In this paper, a novel ICA-based ...
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