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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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書誌詳細
出版年:J Neurosci Methods
主要な著者: Du, Wei, Levin-Schwartz, Yuri, Fu, Geng-Shen, Ma, Sai, Calhoun, Vince D., Adalı, Tülay
フォーマット: Artigo
言語:Inglês
出版事項: 2016
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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