Figure 4.

Pe_C amplitude predicts error awareness. A receiver-operating-characteristic (ROC) curve classifier analysis was employed to predict error awareness using the Pe_C. (A) Classification accuracy (black line) using pooled single-trials across participants rose above a bootstrapped significance threshold (dotted red line; see text for details) just 180 ms after error commission, and closely traced the time-course of the average Pe_C on aware errors (gray line). (B) Classification accuracy was maximal over centro-parietal electrodes.