Measuring statistical learning by eye-tracking

Abstract Statistical learning—the skill to pick up probability-based regularities of the environment—plays a crucial role in adapting environment and learning perceptual, motor, language skills healthy clinical populations. Here, we developed new method measure statistical without any manual responses. We used Alternating Serial Reaction Time (ASRT) task, adapted eye-tracker, which, besides measuring reaction times (RTs), enabled us track learning-dependent anticipatory eye movements. found robust, interference-resistant on RT; moreover, movements were even more sensitive measures this task. Our provides way apply widely ASRT task operationalize populations where use tasks is hindered, such as Parkinson’s disease. Furthermore, it also enables future basic research version predictive processing.