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Analysis of Residual Dependencies of Independent Components Extracted from fMRI Data
Independent component analysis (ICA) of functional magnetic resonance imaging (fMRI) data can be employed as an exploratory method. The lack in the ICA model of strong a priori assumptions about the signal or about the noise leads to difficult interpretations of the results. Moreover, the statistica...
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| Publicado no: | Comput Intell Neurosci |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi Publishing Corporation
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4709923/ https://ncbi.nlm.nih.gov/pubmed/26839530 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2016/2961727 |
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