# name
Prosodic cues enhance infants’ sensitivity to nonadjacent regularities

# metadata.dc.description.abstract[].value
In language, grammatical dependencies often hold between items that are not immediately adjacent to each other. Acquiring these nonadjacent dependencies is crucial for learning grammar. However, there are poten-tially infinitely many dependencies in the language input. How does the infant brain solve this computational learning problem? Here, we demonstrate that while rudimentary sensitivity to nonadjacent regularities may be present relatively early, robust and reliable learning can only be achieved when convergent statistical and per-ceptual, specifically prosodic cues, are both present, helping the infant brain detect the building blocks that form a nonadjacent dependency. This study contributes to our understanding of the neural foundations of rule learning that pave the way for language acquisition.

# metadata.dc.publisher[].value
American Association for the Advancement of Science (AAAS)

# metadata.dc.rights[].value
cc by-nc (c) Martínez Álvarez, Anna et al, 2022

# metadata.dc.source[].value
Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))

# metadata.dc.title[].value
Prosodic cues enhance infants’ sensitivity to nonadjacent regularities