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Author #51882
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Wan Z
11
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Wan Z
108341
EEGformer: A transformer-based brain activity classification method using EEG signal
Wan Z
Frontiers in neuroscience
2023; 17: 1148855
108531
GDNet-EEG: An attention-aware deep neural network based on group depth-wise convolution for SSVEP stimulation frequency recognition
Wan Z; Cheng W
Frontiers in neuroscience
2023; 17: 1160040
108341
EEGformer: A transformer-based brain activity classification method using EEG signal
Li M
Frontiers in neuroscience
2023; 17: 1148855
108531
GDNet-EEG: An attention-aware deep neural network based on group depth-wise convolution for SSVEP stimulation frequency recognition
Li M
Frontiers in neuroscience
2023; 17: 1160040
108341
EEGformer: A transformer-based brain activity classification method using EEG signal
Liu S
Frontiers in neuroscience
2023; 17: 1148855
108531
GDNet-EEG: An attention-aware deep neural network based on group depth-wise convolution for SSVEP stimulation frequency recognition
Zhu R
Frontiers in neuroscience
2023; 17: 1160040
108341
EEGformer: A transformer-based brain activity classification method using EEG signal
Huang J
Frontiers in neuroscience
2023; 17: 1148855
108531
GDNet-EEG: An attention-aware deep neural network based on group depth-wise convolution for SSVEP stimulation frequency recognition
Duan W
Frontiers in neuroscience
2023; 17: 1160040
108341
EEGformer: A transformer-based brain activity classification method using EEG signal
Tan H
Frontiers in neuroscience
2023; 17: 1148855
108531
GDNet-EEG: An attention-aware deep neural network based on group depth-wise convolution for SSVEP stimulation frequency recognition
Duan W
Frontiers in neuroscience
2023; 17: 1160040
108341
EEGformer: A transformer-based brain activity classification method using EEG signal
Duan W; Duan W
Frontiers in neuroscience
2023; 17: 1148855
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