Skip to main content
Fig. 9 | Brain Informatics

Fig. 9

From: A machine learning approach to predict perceptual decisions: an insight into face pareidolia

Fig. 9

Results of moving window analysis: a Arrangement for moving windows along with classification accuracy averaged over all subjects using DATFPS17 feature. b Error bar indicates SEM of individual subjects accuracies in this feature type over each moving window of 246 ms. Features of \(-\,615\) ms to \(-\,369\) ms window yielded the highest accuracy. c For this time window, band-wise occurrence count of dominant features for each subject and PAM using DATFPS17 feature type is shown

Back to article page