Independent Component Analysis with Functional Neuroscience Data Analysis

BACKGROUND: Independent Component Analysis (ICA) is the most common and standard technique used in functional neuroscience data analysis. OBJECTIVE: In this study, two of the significant functional brain techniques are introduced as a model for neuroscience data analysis. MATERIAL AND METHODS: In th...

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Detalles Bibliográficos
Autor principal: Aljobouri, Hadeel K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shiraz University of Medical Sciences 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10111109/
https://www.ncbi.nlm.nih.gov/pubmed/37082550
http://dx.doi.org/10.31661/jbpe.v0i0.2111-1436

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10111109/
https://www.ncbi.nlm.nih.gov/pubmed/37082550
http://dx.doi.org/10.31661/jbpe.v0i0.2111-1436

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