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Performance of Blind Source Separation Algorithms for FMRI Analysis using a Group ICA Method
Independent component analysis (ICA) is a popular blind source separation (BSS) technique that has proven to be promising for the analysis of functional magnetic resonance imaging (fMRI) data. A number of ICA approaches have been used for fMRI data analysis, and even more ICA algorithms exist, howev...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2006
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2358930/ https://ncbi.nlm.nih.gov/pubmed/17540281 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.mri.2006.10.017 |
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