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 …

Sensory input arrives in continuous sequences that humans experience as segmented units,
eg, words and events. The brain's ability to discover regularities is called statistical learning …

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 …

Statistical learning enables learners to extract the environmental regularities necessary to
piece together the structure of their worlds. The capacity for statistical learning and its …

Understanding how we come to make sense of our environments requires understanding
both how we take in new information and how we flexibly process and store that information …

In a prior review, Perrruchet and Pacton (2006) noted that the literature on implicit learning
and the more recent studies on statistical learning focused on the same phenomena, namely …

Until recently, most behavioral studies of children with intellectual and developmental
disabilities (IDD) have used standardized assessments as a means to probe etiology and to …

Decades of work has shown that learners rapidly extract structure from their environment,
later leveraging their knowledge of what is more versus less consistent with prior experience …

Highlights•Methods and results of Perceptual (PL) and Statistical Learning (SL) are
converging.•A Hierarchical Bayesian framework can unify the treatment of PL and SL.•We …