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 …
CM Conway - Neuroscience & Biobehavioral Reviews, 2020 - Elsevier
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 …
Perception involves making sense of a dynamic, multimodal environment. In the absence of mechanisms capable of exploiting the statistical patterns in the natural world, infants would …
According to a recent influential proposal, several phenotypic features of autism spectrum disorder (ASD) may be accounted for by differences in predictive skills between individuals …
Impaired procedural learning has been suggested as a possible cause of developmental dyslexia (DD) and developmental language disorder (DLD). We evaluate this theory by …
Background Word learning is an important component of language development that influences child outcomes across multiple domains. Despite the importance of word …
Purpose The current meta-analysis provides a quantitative overview of published and unpublished studies on statistical learning in the auditory verbal domain in people with and …
LS Baron, Y Arbel - American Journal of Speech-Language Pathology, 2022 - ASHA
Purpose: The growing interest in framing intervention approaches as either implicit or explicit calls for a discussion of what makes intervention approaches engage each of these …
Autism spectrum disorder (ASD) is a complex neurodevelopmental condition affecting information processing across domains. The current meta-analysis investigated whether …