[Motor imagery classification based on dynamic multi-scale convolution and multi-head temporal attention]
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Convolutional neural networks (CNNs) are renowned for their excellent representation learning capabilities and have become a mainstream model for motor imagery based electroencephalogram (MI-EEG) signal classification. However, MI-EEG exhibits strong inter-ind... ...
