A novel subject-wise dictionary learning approach using multi-subject fMRI spatial and temporal components

The conventional dictionary learning (DL) algorithms aim to adapt the dictionary/sparse code to individual functional magnetic resonance imaging (fMRI) data. Thus, lacking the capability to consolidate the spatiotemporal diversities offered by other subjects. Considering that subject-wise (sw) data...

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Detalles Bibliográficos
Autores principales: Khalid, Muhammad Usman, Nauman, Malik Muhammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10657419/
https://www.ncbi.nlm.nih.gov/pubmed/37980391
http://dx.doi.org/10.1038/s41598-023-47420-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10657419/
https://www.ncbi.nlm.nih.gov/pubmed/37980391
http://dx.doi.org/10.1038/s41598-023-47420-1

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