CLTNet: A Hybrid Deep Learning Model for Motor Imagery Classification.

As the number of heads increases to 4, 8, and 16, the classification performance gradually decreases, with accuracies of 79.51%, 79.20%, and 78.97%, respectively, and a decreasing trend in the Kappa value.

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