Felipe Pedraza, Bence C Farkas, Teodóra Vékony, Frederic Haesebaert, Romane Phelipon, Imola Mihalecz, Karolina Janacsek, Royce Anders, Barbara Tillmann, Gaën Plancher, Dezső Németh
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 (NStudy1 = 186, NStudy2 = 157), the relationship between implicit statistical learning, measured by the Alternating Serial Reaction Time task, and executive functions, measured by multiple neuropsychological tests...
April 12, 2024: NPJ Science of Learning