Table 2.

Summary of model complexity metrics.

Model	FLOPs	Params (k)	Inference time (s)
EEGNet	3.81 MMac	1.78	0.000659
TCANet	3.58 MMac	13.59	0.001631
TCN	8.74 MMac	25.65	0.001991
ShallowConvNet	50.32 KMac	37.52	0.000608
MSCFormer	4.35 MMac	149.71	0.004123
CTNet	3.02 MMac	149.92	0.005147
CCST	18.94 MMac	150.96	0.002407
TIDNet	142.87 MMac	186.74	0.001574
DeepConvNet	7.95 MMac	204.05	0.001093
EEGConformer	19.33 MMac	318.47	0.007451
EEGInception	2.86 GMac	8,870	0.006249