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Course philosophy

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

Who should apply?

PhD students and postdocs in cognitive, systems, and computational neuroscience.

Participants should have some background in computational/quantitative analysis to maximally benefit from the advanced training offered by the course. Proficiency in either Python (main official programming language for the course) and/or Matlab is also required.

We will seek a nice blend of experimentalists (cognitive psychology / systems 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. Scientists from underrepresented groups and countries are especially encouraged to apply.

How much does it cost?

We are still in the process of determining the exact registration fees, which should be no more than 1000 euros (including housing and part of the meals).

A few travel grants and registration fee waivers may be allocated in exceptional circumstances. Applicants can also look into financial support here and here.