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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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| Udgivet i: | J Neurosci Methods |
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| Main Authors: | , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2016
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| Fag: | |
| Online adgang: | 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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