a didactic introduction
Computational Psychiatry is a new interdisciplinary field ” … which seeks to characterize mental disorders in terms of aberrant computations at multiple scales.”
— Montague et al., Trends in Cognitive Sciences, Jan 2012, Vol. 16, No. 1
This course aims to introduce the tools and methods of this new approach to mental function and dysfunction. No prior experience in psychiatry or computational modeling is required.
Topics to include Bayesian decision theory, reinforcement learning, addiction, network science and depression.