Deep-Learning-Based Multivariate Pattern Analysis (dMVPA): A Tutorial and a Toolbox

In recent years, multivariate pattern analysis (MVPA) has been hugely beneficial for cognitive neuroscience by making new experiment designs possible and by increasing the inferential power of functional magnetic resonance imaging (fMRI), electroencephalography (EEG), and other neuroimaging methodol...

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Detalles Bibliográficos
Autores principales: Kuntzelman, Karl M., Williams, Jacob M., Lim, Phui Cheng, Samal, Ashok, Rao, Prahalada K., Johnson, Matthew R.
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/PMC7960649/
https://www.ncbi.nlm.nih.gov/pubmed/33737872
http://dx.doi.org/10.3389/fnhum.2021.638052

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7960649/
https://www.ncbi.nlm.nih.gov/pubmed/33737872
http://dx.doi.org/10.3389/fnhum.2021.638052

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