valence_files: whole brain data.

val_runs.mat: In the experiments there are 4 sessions just as cross-validation.			
		This vector shows which sample is obtained in which session.
		In the data processing step, it should be clustered by session beforehand.

valence_reg.mat: class_n by sample_n matrix M(i,j).

		Since binary classification, class_n=2.
		
		if M(i,j)=1, j th sample belongs to ith class.

amygdala: Data obtain only from amygdale region of the brain

		Here only voxels are different, thats why regression and runs files 
		can be used as in valance