Statistical learning as an individual ability by Ram Frost (The Hebrew University of Jerusalem – Department of Psychology)
Most research in Statistical Learning (SL) has focused on mean success rate of participants in detecting statistical contingencies at a group level. In recent years, however, researchers show increased interest in individual abilities in SL. What determines individuals' efficacy in detecting regularities in SL? What does it predict? Is it stable across modalities? We explore these questions by trying to understand the source of variance in performance in a visual SL task through a novel methodology. The theoretical implications for a mechanistic explanation of SL will be discussed.