FusedNeXt-based anxiety detection from electroencephalography topographic maps: A comparative analysis of alpha, beta, and theta bands

Table 3 Training configuration used in all band-specific experiments

Parameter	Value
Input size	224 × 224 × 3
Experimental bands	Alpha, beta, theta
Optimizer	Adam
Mini-batch size	64
Maximum number of epochs	12
Initial learning rate	3 × 10-5
L2 regularization	5 × 10-4
Model selection criterion	Best validation loss
Class balancing	Class-weighted classification