Fig. 4.

Experiment 3: Duty Cycle. a First row: Bar charts of group-means of the sum of frequency-baselined amplitudes of the base (left) and oddball (right) harmonic frequencies taken over occipitoparietal ROI (Bayesian ANOVAs, in general methods). Error bars correspond to ± 1 SEM. Second row: Topographies of controls’ (top) and SRs’ (bottom) group-averaged, frequency-baselined amplitudes (in µV) for base (left) and oddball (right) harmonic frequencies, interpolated over scalp electrodes. Note: axes are not equivalent for base and oddball frequencies; these should not be compared directly, as different numbers of frequency bins are summed to determine each total amplitude. b Plot of mean logistic classification accuracy, repeated at each frequency from 1 to 47 Hz, using scalp electrodes as potential ‘features’ for the machine learning algorithm. Error bars about grand average correspond to standard errors of the mean. Shaded regions above chance accuracy (green dotted lines) correspond to log Bayes Factors for Group comparisons; regions below correspond to log Bayes Factors comparing the Grand average against chance