Statistical learning (SL) is involved in a wide range of basic and higher-order cognitive
functions and is taken to be an important building block of virtually all current theories of …

Statistical learning is a key concept in our understanding of language acquisition. Ample
work has highlighted its role in numerous linguistic functions—yet statistical learning is not a …

A growing body of research investigates individual differences in the learning of statistical
structure, tying them to variability in cognitive (dis) abilities. This approach views statistical …

Vision and learning have long been considered to be two areas of research linked only
distantly. However, recent developments in vision research have changed the conceptual …

Purpose The purpose of this tutorial is to explain how learning to read can be thought of as
learning statistical regularities and to demonstrate why this is relevant for theory, modeling …

Do commonly used statistical-learning tasks capture stable individual differences in
children? Infants, children, and adults are capable of using statistical learning (SL) to extract …

This study addresses the role of domain-general mechanisms in second-language learning
and knowledge using an individual differences approach. We examine the predictive validity …

Statistical-learning (SL) theory offers an experience-based account of typical and atypical
spoken and written language acquisition. Recent work has provided initial support for this …

Humans are capable of extracting recurring patterns from their environment via statistical
learning (SL), an ability thought to play an important role in language learning and learning …

A compelling demonstration of implicit learning is the human ability to unconsciously detect
and internalize statistical patterns of complex environmental input. This ability, called …