The central argument presented in this paper is that statistical learning (SL) is an ability
comprised of multiple components that operate largely implicitly. Components relating to the …

Statistical learning has been studied in a variety of different tasks, including word
segmentation, object identification, category learning, artificial grammar learning and serial …

Within the cognitive sciences, most researchers assume that it is the job of linguists to
investigate how language is represented, and that they do so largely by building theories …

The cognitive system has the capacity to learn and make use of environmental regularities–
known as statistical learning (SL), including for the implicit guidance of attention. For …

Cognitive linguists are bound by the cognitive commitment, which is the commitment to
providing a characterization of the general principles governing all aspects of human …

Most research in statistical learning (SL) has focused on the mean success rates of
participants in detecting statistical contingencies at a group level. In recent years, however …

Humans engagement in music rests on underlying elements such as the listeners' cultural
background and interest in music. These factors modulate how listeners anticipate musical …

Building on her earlier work,'The Power of Music: A Research Synthesis of the Impact of
Actively Making Music on the Intellectual, Social and Personal Development of Children and …

Impairments in statistical learning might be a common deficit among individuals with Specific
Language Impairment (SLI) and Autism Spectrum Disorder (ASD). Using meta-analysis, we …

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 …