A portion of the data from an event-related potential (ERP) experiment  on auditory temporal assimilation [2, 3] was reanalyzed by constructing Gaussian Naïve Bayes Classifiers . In auditory temporal assimilation, two neighboring physically-unequal time intervals marked by three successive tone bursts are illusorily perceived to have the same duration if the two time intervals satisfy a certain relationship. The classifiers could discriminate the subject's task, which was judgment of the equivalence between the two intervals, at an accuracy of 86-96% as well as their subjective judgments to the physically equivalent stimulus at an accuracy of 82-86% from individual ERP average waveforms. Chernoff information  provided more consistent interpretations compared with classification errors as to the selection of the component most strongly associated with the perceptual judgment. This may provide us with a simple but somewhat robust neurodecoding scheme.