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An Empirical Comparison of Information-Theoretic Criteria in Estimating the Number of Independent Components of fMRI Data
BACKGROUND: Independent Component Analysis (ICA) has been widely applied to the analysis of fMRI data. Accurate estimation of the number of independent components of fMRI data is critical to reduce over/under fitting. Although various methods based on Information Theoretic Criteria (ITC) have been u...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3246467/ https://www.ncbi.nlm.nih.gov/pubmed/22216229 http://dx.doi.org/10.1371/journal.pone.0029274 |