Statistical learning (SL) is a crucial capacity supporting efficient cognition and action throughout the lifespan. SL is an organism’s ability to attune to coherent covariation in its environment (e.g., an infant learning sound patterns of a language, or visual patterns corresponding to objects). This project uses recurrent neural network modeling to investigate the types of computations that may support human SL. The modeling motivates EEG and MEG studies with human subjects. Together, the modeling and experiments will advance our understanding of the nature and computational basis for human SL.

Job description: designing and implementing studies exploring FDS perception and production in adults; analysing acoustic, behavioural and electrophysiological data during speech processing; writing research articles under the supervision of the PI, aiming to publish at top-tier journals; dissemination of results at international scientific conferences and to general public.

Bressanone/Brixen, Italy
13-15 February 2025

The Cognitive Science Arena is a conference where young scientists can disseminate their scientific contributions in a friendly and cooperative environment, and challenge the senior scientists in a fruitful debate. In particular, highly innovative research ideas as well as research-in-progress are encouraged. The idea of ​​the CSA is to reverse the usual format of scientific conferences. Young researchers first: they play the starring role (no talks or posters from senior researchers are allowed), they compete for a prize for the best talk and poster voted by the audience. We would like to bring together young and promising minds now working in cognitive science and provide them with a fruitful and cooperative environment.