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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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| 出版年: | J Neurosci Methods |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2016
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| 主題: | |
| オンライン・アクセス: | 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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