2026-05-18T00:54:01Zhttps://www.bilketa.eus/in/rest/oai

oai:www.bilketa.eus:ark:/27020/hal-03805160ALL2025-06-05T09:20:06Z

https://www.bilketa.eus/ark:/27020/hal-03805160Northeastern University [Boston]Centre Neurosciences intégratives et Cognition / Integrative Neuroscience and Cognition Center (INCC - UMR 8002) ; Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)Universidad del País Vasco / Euskal Herriko Unibertsitatea (UPV / EHU)Ikerbasque - Basque Foundation for ScienceUniversity of ChicagoUniversità degli Studi di Padova = University of Padua (Unipd)Berent, Irisde la Cruz-Pavía, IreneBrentari, DianeGervain, JuditHAL, hal-038051602021-12International audienceAbstract Infants readily extract linguistic rules from speech. Here, we ask whether this advantage extends to linguistic stimuli that do not rely on the spoken modality. To address this question, we first examine whether infants can differentially learn rules from linguistic signs. We show that, despite having no previous experience with a sign language, six-month-old infants can extract the reduplicative rule (AA) from dynamic linguistic signs, and the neural response to reduplicative linguistic signs differs from reduplicative visual controls, matched for the dynamic spatiotemporal properties of signs. We next demonstrate that the brain response for reduplicative signs is similar to the response to reduplicative speech stimuli. Rule learning, then, apparently depends on the linguistic status of the stimulus, not its sensory modality. These results suggest that infants are language-ready. They possess a powerful rule system that is differentially engaged by all linguistic stimuli, speech or sign.https://hal.science/hal-03805160https://hal.science/hal-03805160v1/file/Berentetal21.pdfArticle de journal | Aldizkari bateko artikuluavignette : https://www.bilketa.eus/in/rest/Thumb/image?id=ark:/27020/hal-03805160&mat=articleNumengArchive ouverte HAL | HAL artxibo irekia[SCCO]Cognitive scienceInfants differentially extract rules from language