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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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Bibliografiske detaljer
Udgivet i:J Neurosci Methods
Main Authors: Du, Wei, Levin-Schwartz, Yuri, Fu, Geng-Shen, Ma, Sai, Calhoun, Vince D., Adalı, Tülay
Format: Artigo
Sprog:Inglês
Udgivet: 2016
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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