A transformer model for learning spatiotemporal contextual representation in fMRI data

Representation learning is a core component in data-driven modeling of various complex phenomena. Learning a contextually informative representation can especially benefit the analysis of fMRI data because of the complexities and dynamic dependencies present in such datasets. In this work, we propos...

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Detalles Bibliográficos
Autores principales: Asadi, Nima, Olson, Ingrid R., Obradovic, Zoran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MIT Press 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10270708/
https://www.ncbi.nlm.nih.gov/pubmed/37334006
http://dx.doi.org/10.1162/netn_a_00281

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10270708/
https://www.ncbi.nlm.nih.gov/pubmed/37334006
http://dx.doi.org/10.1162/netn_a_00281

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