Deep Learning Based Inter-subject Continuous Decoding of Motor Imagery for Practical Brain-Computer Interfaces

Inter-subject transfer learning is a long-standing problem in brain-computer interfaces (BCIs) and has not yet been fully realized due to high inter-subject variability in the brain signals related to motor imagery (MI). The recent success of deep learning-based algorithms in classifying different b...

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Detalles Bibliográficos
Autores principales: Roy, Sujit, Chowdhury, Anirban, McCreadie, Karl, Prasad, Girijesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7554529/
https://www.ncbi.nlm.nih.gov/pubmed/33100953
http://dx.doi.org/10.3389/fnins.2020.00918

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7554529/
https://www.ncbi.nlm.nih.gov/pubmed/33100953
http://dx.doi.org/10.3389/fnins.2020.00918

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