NIRS-ICA: A MATLAB Toolbox for Independent Component Analysis Applied in fNIRS Studies

Independent component analysis (ICA) is a multivariate approach that has been widely used in analyzing brain imaging data. In the field of functional near-infrared spectroscopy (fNIRS), its promising effectiveness has been shown in both removing noise and extracting neuronal activity-related sources...

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Detalles Bibliográficos
Autores principales: Zhao, Yang, Sun, Pei-Pei, Tan, Fu-Lun, Hou, Xin, Zhu, Chao-Zhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8317505/
https://www.ncbi.nlm.nih.gov/pubmed/34335218
http://dx.doi.org/10.3389/fninf.2021.683735

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8317505/
https://www.ncbi.nlm.nih.gov/pubmed/34335218
http://dx.doi.org/10.3389/fninf.2021.683735

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