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.
The teaching offer in the Cognitive Neuroscience PhD at SISSA consists of theoretical and methodological courses. The former are taught by our Faculty, and cover advanced topics in the fields that are investigated in the group (tactile, visual and time perception, language and reading, social and food neuroscience, and neural computation). The latter are taught by our Faculty, external experts and, occasionally, postdocs in the group; and are designed to introduce the students to the tools that they may use during their PhD (coding, information theory, TMS, fMRI, eye tracking, EEG, and scientific writing).
The courses are primarily directed to 1st year students, who must pass all the theoretical exams and the coding, information theory and scientific writing courses in order to be admitted to the second year. Senior students are also more than welcome to attend any of the courses, and take part into the exams if they wish so. The TMS, fMRI, eye tracking and EEG courses will all start with a couple of introductory meetings, which are designed the illustrate the main features of the tool at hand, so that everyone can decide whether they’re interested in attending the remaining classes.
To explore the course list for 2016-2017, please use the menu on the right.