Course philosophy

Our goal is​ to teach advanced techniques in model-based analysis of behavior (humans and other species) to cognitive and computational neuroscientists at PhD and early career levels. This will be achieved through structured lectures, talks, hands-on tutorials and group project aimed at making knowledge obtained directly applicable to the participants' own research. We want the trainees to acquire both the conceptual bases and the technical skills that will enable them to pursue a full modelling approach on their own when they come back to their lab.


Who should apply ?

PhD students and postdocs in cognitive and computational neuroscience.

You should have some background in computational/quantitative analysis to benefit maximally from the advanced training offered by the course. Proficiency in either Python or Matlab is also required.

We will seek a nice blend of experimentalists (cognitive psychology / neuroscience) and theoreticians (with or without experience in cognitive modeling). The organizing committee will select academically outstanding participants who are most likely to benefit from the course for their current work and future career. Female scientists and scientists from underrepresented countries are especially encouraged to apply.

Sponsors

The summer school benefits from the generous support of the William K. and Katherine W. Estes Fund, from the Sociedad Española de Neurociencia and from the Centre de Recerca Matemàtica.