Johnson, S. .
Statistical learning is the process of identifying patterns of probabilistic co-occurrence among stimulus features, essential to our ability to perceive the world as predictable and stable. Research on visual statistical learning has revealed abilities to discriminate, learn, and generalize probabilities in visual sequences, but the mechanisms (including developmental mechanisms) underlying infant performance remain unclear. This talk will describe different sequential statistics that infants may attend to and learn, and discuss the challenge involved in deducing which statistics (or other patterns) may influence infant behavior in a given context.