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

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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Bibliographic Details
Main Authors: Sujit Roy, Anirban Chowdhury, Karl McCreadie, Girijesh Prasad
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-09-01
Series:Frontiers in Neuroscience
Subjects:
convolutional neural network (CNN)
deep learning
motor imagery
brain-computer interface (BCI)
electroencephalography (EEG)
adaptive learning
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2020.00918/full

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https://www.frontiersin.org/article/10.3389/fnins.2020.00918/full

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