Richard Aslin

Senior Scientist, Haskins Laboratories / Governance: Advisory Board Member

Yale University

For over two decades, Richard’s research has examined a form of implicit learning referred to as “statistical learning”. Although initially focused on the task of word segmentation from fluent speech, statistical learning has been extended to other domains, such as musical tones, phonetic categories, sequences of visual shapes, sequences of motor responses, and combinations of objects (or object parts) in complex visual scenes. A related line of research focuses on spoken word recognition in both infants, toddlers, and adults using eye-tracking and EEG methods. In the past few years, Richard’s research has moved toward studies of brain function in adults and infants using fMRI, fNIRS, and EEG.