Extended Data Fig. 7: Impact of latent dimension on DeNN’s performance.
From: DeepCor: denoising fMRI data with contrastive autoencoders
Box plots showing DeNN’s mean R-squared scores across 10 runs with different random seeds (n=10), evaluating the denoised testing voxels against their ground truth from the realistic BrainIAK simulation dataset. The latent dimension is set to the default value of 16 (labeled as “Default” on the left) and doubled to 32 (labeled as “Double” on the right). Simulation and other model parameters were the same as the ones reported in the main text. The central line within each box represents the median, while the upper and lower bounds correspond to the first (Q1) and third quartiles (Q3), capturing the interquartile range (IQR). Whiskers extend to the smallest and largest values within 1.5 times the IQR, while individual points beyond this range are plotted as outliers.
