Cognitive tasks are capable of providing researchers with crucial insights into the
relationship between cognitive processing and psychiatric phenomena. However, many …

In recent years, statistical learning (SL) research has seen a growing interest in tracking
individual performance in SL tasks, mainly as a predictor of linguistic abilities. We review …

Both implicit learning and statistical learning focus on the ability of learners to pick up on
patterns in the environment. It has been suggested that these two lines of research may be …

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 …

Statistical Learning (SL) is typically considered to be a domain-general mechanism by which
cognitive systems discover the underlying statistical regularities in the input. Recent findings …

From a theoretical perspective, most discussions of statistical learning (SL) have focused on
the possible “statistical” properties that are the object of learning. Much less attention has …

The computations involved in statistical learning have long been debated. Here, we build on
work suggesting that a basic memory process, chunking, may account for the processing of …

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 …

Impaired procedural learning has been suggested as a possible cause of developmental
dyslexia (DD) and developmental language disorder (DLD). We evaluate this theory by …