Fig. 9
From: Temporal convolutional transformer for EEG based motor imagery decoding
Average confusion matrices for five models—EEGNet, EEGConformer, CTNet, ATCNet, and the proposed TCFormer—on three EEG motor-imagery datasets: BCIC IV-2a (four‐class MI: feet, left hand, right hand, tongue), BCIC IV-2b (two‐class MI: left hand vs. right hand), and HGD (four‐class movement: feet, left hand, rest, right hand). The matrices correspond to the best-performing run for each model, averaged across all subjects. Darker diagonal entries indicate higher per‐class accuracy and overall model performance.
