Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.04.15.042507v1?rss=1 Authors: Bogaerts, L., Richter, C. G., Landau, A. N., Frost, R. Abstract: Statistical learning (SL) is taken to be the main mechanism by which cognitive systems discover the underlying regularities of the environment. We document, in the context of a classical visual SL task, divergent rhythmic EEG activity during the anticipation of stimuli within patterns versus pattern transitions. Our findings reveal differential pre-stimulus oscillatory activity in the beta band (~20 Hz) that indexes learning: it emerges with increased pattern repetitions, and importantly, it is highly correlated with behavioral learning outcomes. These findings hold the promise of converging on an online measure of learning regularities and provide important theoretical insights regarding the mechanisms of SL and prediction. Copy rights belong to original authors. Visit the link for more info