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A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data
Independent component analysis (ICA) has become an increasingly utilized approach for analyzing brain imaging data. In contrast to the widely used general linear model (GLM) that requires the user to parameterize the data (e.g. the brain's response to stimuli), ICA, by relying upon a general as...
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| Huvudupphovsmän: | , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2008
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2651152/ https://ncbi.nlm.nih.gov/pubmed/19059344 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2008.10.057 |
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