Abstract
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 auditory statistical learning has revealed that infants use statistical properties of linguistic input to discover structure that may facilitate language acquisition. More broadly, statistical learning operates across sensory modalities and across species. Research on infants’ visual statistical learning has revealed that statistical learning develops over time, yet the mechanisms (including developmental mechanisms) underlying infant performance remain unclear. This chapter examines competing models of statistical learning and how learning might be constrained by limits in infants’ attention, perception, and memory.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
