Table 2 Performance comparison of TSCA-Net with seven state-of-the-art models.

From: Temporal-spatial cross attention network for recognizing imagined characters

Model

Accuracy (%)

Precision (%)

Recall (%)

F1 (%)

EEG-Net31

85.24

88.70

87.65

88.17

EEG-TCNet32

85.17

85.76

84.86

85.04

GRU14

86.70

84.57

83.36

83.96

LSTM33

89.01

90.02

88.92

89.47

S3T22

88.50

89.10

88.45

88.77

R-Transformer34

86.08

87.80

87.93

87.86

ViT18

85.62

85.88

85.83

85.40

TSCA-Net (Ours)

92.66

92.77

92.70

92.58

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