Fig. 4
From: Objective assessment of familiarity in music using imagery and EEG-based machine learning
Electrode importances for the classificatifigon based on TSM features with logistic regression. Electrodes are displayed as in Fig. 3. The background heatmap shows the averaged normalized importance of variance-based (diagonal) features (yellow = high, dark blue = low). Links between electrodes represent covariance-based (off-diagonal) feature importances, with thicker lines indicating stronger contributions. Only features whose mean normalized importance exceeded 0.25 across the 20 training subjects are shown; all others were set to zero, resulting in dark-blue background values and invisible links.
