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The Role of Diversity in Complex ICA Algorithms for fMRI Analysis
BACKGROUND: The widespread use of data-driven methods, such as independent component analysis (ICA), for the analysis of functional magnetic resonance imaging data (fMRI) has enabled deeper understanding of neural function. However, most popular ICA algorithms for fMRI analysis make several simplify...
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| Publicado en: | J Neurosci Methods |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2016
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4833547/ https://ncbi.nlm.nih.gov/pubmed/26993820 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jneumeth.2016.03.012 |
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