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 …

Despite a growing body of research devoted to the study of how humans encode
environmental patterns, there is still no clear consensus about the nature of the …

A sequence of images, sounds, or words can be stored at several levels of detail, from
specific items and their timing to abstract structure. We propose a taxonomy of five distinct …

Statistical learning (SL) is typically considered to be a domain-general mechanism by which
cognitive systems discover the underlying distributional properties of the input. However …

When we read or listen to language, we are faced with the challenge of inferring intended
messages from noisy input. This challenge is exacerbated by considerable variability …

The hippocampus is involved in the learning and representation of temporal statistics, but
little is understood about the kinds of statistics it can uncover. Prior studies have tested …

Although the power of statistical learning (SL) in explaining a wide range of linguistic
functions is gaining increasing support, relatively little research has focused on this …

Considerable research indicates that learners are sensitive to probabilistic structure in
laboratory studies of artificial language learning. However, the artificial and simplified nature …

In this paper we highlight why there is a need to examine subcortical learning systems in
children with language impairment and dyslexia, rather than focusing solely on cortical …

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 …