Probabilistic Learning and Reading


Davide Crepaldi

Amount of frontal teaching: 

~15 hours



The course offers an introduction to probabilistic learning -- how does the brain take up regularities in the world around it. We will ask questions like -- what is it that the brain is really learning? Do we actually code for probabilities? Do we build higher-order units for recurring clusters of fundametal objects? We will try to cut across behavioural experiments, neuroimaging, animal electrophysiology and computational modelling, and take what we can learn (or can't learn) from each of these techniques. All this will be particularly applied to reading, and how we code for letter/morphemes/word co-occurrence in the language.

The course is mandatory for 1st year students in the SISSA Cognitive Neuroscience PhD, and for the SISSA-Trento Master Students who have included this course in their "piano di studi". Students will be evaluated based (i) on their participation during classes, (ii) on presentations that they will be asked to give during the course, and (iii) on a little final exam, which will be taken remotely. Non-curricular students are most welcome, but please email the teacher here before showing up at classes.

A detailed syllabus and timetable will be made available soon.