COMPUTATIONAL PSYCHIATRY COURSE 2015
12th December 2015 -15th December 2015
STRUCTURE
- Day 1 introduces general modeling techniques, including model inversion (Variational Bayes, MCMC) and model comparison.
- Day 2 and 3 feature different modeling approaches for behavioral data (learning and decision-making) and fMRI/EEG data - including Bayesian Modeling, Reinforcement Learning, Drift Diffusion Models and Dynamical Causal Models.
- Day 4 will focus on applications: Experts in the field will present practical applications of computational models to problems from psychiatry and neuroeconomics.
SPEAKERS
Eduardo Aponte (UZH & ETH Zurich)
Daniel Braun (Tübingen)
Jean Daunizeau (Paris)
Michael Frank (Brown University)
Karl Friston (UCL)
Jakob Heinzle (UZH & ETH Zurich)
Quentin Huys (UZH & ETH Zurich)
Viktor Jirsa (Marseille)
Tiago Maia (Lisbon)
Christoph Mathys (UCL)
Rosalyn Moran (Virginia Tech)
Saee Paliwal (UZH & ETH Zurich)
Martin Paulus (San Diego)
Frederike Petzschner (UZH & ETH Zurich)
Lionel Rigoux (Cologne, UZH & ETH Zurich)
Dario Schöbi (UZH & ETH Zurich)
Philipp Schwartenbeck (UCL)
Anil Seth (Sussex)
Sudhir Raman Shankar (UZH & ETH Zurich)
Klaas Enno Stephan (UZH & ETH Zurich)
Philippe Tobler (UZH Zurich)
Lilian Weber (UZH & ETH Zurich)
Thomas Wiecki (Brown University)
ORGANIZER
Dr. Frederike Petzschner
Prof. Dr. Klaas Enno Stephan
Silvia Princz
Gina Paolini
TEAM