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Application of Independent Component Analysis with Adaptive Density Model to Complex-valued fMRI Data
Independent component analysis (ICA) has proven quite useful for the analysis of functional resonance magnetic imaging (fMRI) data, especially when the underlying nature of the data is hard to model. It is especially attractive for the analysis of fMRI data in its native complex form since very litt...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2011
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3179579/ https://ncbi.nlm.nih.gov/pubmed/21690000 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TBME.2011.2159841 |
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