Spatio-Temporal Dynamics of Intrinsic Networks in Functional Magnetic Imaging Data Using Recurrent Neural Networks

We introduce a novel recurrent neural network (RNN) approach to account for temporal dynamics and dependencies in brain networks observed via functional magnetic resonance imaging (fMRI). Our approach directly parameterizes temporal dynamics through recurrent connections, which can be used to formul...

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Detalles Bibliográficos
Autores principales: Hjelm, R. Devon, Damaraju, Eswar, Cho, Kyunghyun, Laufs, Helmut, Plis, Sergey M., Calhoun, Vince D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6158311/
https://www.ncbi.nlm.nih.gov/pubmed/30294250
http://dx.doi.org/10.3389/fnins.2018.00600

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6158311/
https://www.ncbi.nlm.nih.gov/pubmed/30294250
http://dx.doi.org/10.3389/fnins.2018.00600

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