Cross-Dataset Variability Problem in EEG Decoding With Deep Learning

Cross-Dataset Variability Problem in EEG Decoding With Deep Learning

Cross-subject variability problems hinder practical usages of Brain-Computer Interfaces. Recently, deep learning has been introduced into the BCI community due to its better generalization and feature representation abilities. However, most studies currently only have validated deep learning models...

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Bibliographic Details
Main Authors: Lichao Xu, Minpeng Xu, Yufeng Ke, Xingwei An, Shuang Liu, Dong Ming
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-04-01
Series:Frontiers in Human Neuroscience
Subjects:
brain-computer interface
cross-subject variability
cross-dataset variability
deep learning
transfer learning
EEG
Online Access:https://www.frontiersin.org/article/10.3389/fnhum.2020.00103/full

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https://www.frontiersin.org/article/10.3389/fnhum.2020.00103/full

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