Research project Studying building blocks of statistical learning: Automatic computation of auditory predictability
The CAPSL-project investigates statistical learning (SL) and computation of auditory predictability (CAP) in infants and adults. The aim is to determine whether CAP may be an underlying neural mechanism of SL.
Infants are sensitive to regularities in the auditory input, and pick up on them from brief and passive exposure. SL of regularities in the input is an important ability for language development.
In complex auditory environments, CAP helps to make sense of overlapping sounds by decoding which sounds come from the same or different sources.
The project has the potential to establish whether a general-purpose neural mechanism potentially underlies an ability linked to language development (SL), thus contributing to the understanding of the human language capacity.
Project members
Project managers
Ellen Marklund
Docent
Members
Iris-Corinna Schwarz
Docent, studierektor
Lisa Gustavsson
Associate Professor
Elisabet Cortes
PhD Student, Research Assistant
Klara Marklund Hjerpe
Research assistant
Petter Kallioinen
PhD Student (guest), Research assistant
David Pagmar
Researcher
