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...

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Detalles Bibliográficos
Autores principales: Li, Shanshan, Chen, Shaojie, Yue, Chen, Caffo, Brian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Neuroscience
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

Internet

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

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