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A Parcellation Based Nonparametric Algorithm for Independent Component Analysis with Application to fMRI Data
Independent Component analysis (ICA) is a widely used technique for separating signals that have been mixed together. In this manuscript, we propose a novel ICA algorithm using density estimation and maximum likelihood, where the densities of the signals are estimated via p-spline based histogram sm...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4731731/ https://www.ncbi.nlm.nih.gov/pubmed/26858592 http://dx.doi.org/10.3389/fnins.2016.00015 |