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The role of diversity in data‐driven analysis of multi‐subject fMRI data: Comparison of approaches based on independence and sparsity using global performance metrics

Data‐driven methods have been widely used in functional magnetic resonance imaging (fMRI) data analysis. They extract latent factors, generally, through the use of a simple generative model. Independent component analysis (ICA) and dictionary learning (DL) are two popular data‐driven methods that ar...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
में प्रकाशित:Hum Brain Mapp
मुख्य लेखकों: Long, Qunfang, Bhinge, Suchita, Levin‐Schwartz, Yuri, Boukouvalas, Zois, Calhoun, Vince D., Adalı, Tülay
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: John Wiley & Sons, Inc. 2018
विषय:
ऑनलाइन पहुंच:https://ncbi.nlm.nih.gov/pmc/articles/PMC6392437/
https://ncbi.nlm.nih.gov/pubmed/30240499
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.24389
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