z	noise vector
l	target categorical label
$W_n$	output of linear transformation in generator
$W_n^{\prime }$	$W_n$ after Transformer module in generator
$T_n$	$W_n^{\prime }$ after Deconv layer in generator
$T_n^{\prime }$	$T_n$ after attention module in generator
$Y_n$	synthetic data of 4D structure
$S_n$	raw EEG data
m	the number of electrode channels available
r	the rate of sampling
$D_n$	DE segment of 3D structure
d	the count of distinct frequency bands
T	EEG segments into time frames, amounting to 2T in total
h, w	the height and width of a 2D map
$X_n$	real data of a 4D structure
$X_n^{\prime }$	$X_n$ after attention module in discriminator
$Q_n$	$X_n^{\prime }$ after bottleneck residual module in discriminator
C	the dimensionality of the output layer within the bottleneck residual block
k	multiplicative dimensionality increase in bottleneck layer