Perceptual Science Series
Statistical learning: detecting, representing, and using regularities in perception
Monday, October 31, 2011, 12:00pm - 07:00pm
Princeton University, Department of Psychology
Everyday experience is highly structured: we repeatedly encounter the same people, places, and things, andthey tend to appear in reliable spatial and temporal patterns. Learning about these regularities may be a corefunction of the mind and brain. For example, we readily learn the configuration of objects in a room, the boundariesbetween words in a language, and the sequence of landmarks on a navigation route. Such statistical learning hasbeen observed across various tasks, in multiple modalities, and throughout development. In a series of behavioraland neuroimaging studies, I will address several key questions about how statistical learning works, including:When are regularities detected? How are they represented as a result of learning? And, how is this knowledgeultimately used? These studies show that statistical learning is powerful and flexible, that it occurs without intentor awareness, and that it has important consequences for other parts of cognition.