The ability of the brain to extract patterns from the environment and predict future events, known as statistical learning, has been proposed to interact in a competitive manner with prefrontal lobe-related networks and their characteristic cognitive or executive functions. However, it remains unclear whether these cognitive functions also possess a competitive relationship with implicit statistical learning across individuals and at the level of latent executive function components. In order to address this currently unknown aspect, we investigated, in two independent experiments (N = 186, N = 157), the relationship between implicit statistical learning, measured by the Alternating Serial Reaction Time task, and executive functions, measured by multiple neuropsychological tests.
View Article and Find Full Text PDFAbstractThe web of interactions in a community drives the coevolution of species. Yet it is unclear how the outcome of species interactions influences the coevolutionary dynamics of communities. This is a pressing matter, as changes to the outcome of interactions may become more common with human-induced global change.
View Article and Find Full Text PDFTraditional provider-to-child models of early intervention (EI) service provision have been increasingly replaced by service guidelines that promote a broader family-centered approach to support improvement in the child's primary area of delay. These guidelines include working directly with caregivers and addressing needs of the family that might impact a caregivers' capacity to engage in developmentally supportive interactions with children (e.g.
View Article and Find Full Text PDF