The Computational Psychiatry Course (CPC) Zurich is split into several parts. Starting with an introduction to Psychiatry (Day 1), the CPC then offers three days that will cover computational methods in detail and a final day on concrete applications. Some background knowledge in statistics and computational methods is needed to master the more technical parts (Days 2-4). If you lack this background, it is recommended that you prepare for this course. In this repository, we list some recommended reading and useful resources for you to best prepare. Enjoy!
Note: All recommended MOOCs are freely available. As for the recommended reading, try using tools and platforms such as Kopernio or Research Gate to find freely accessible versions of papers, in case you hit a paywall.
- MOOC
- Fundamental Neuroscience for neuroimaging (Johns Hopkins University)
- Understanding the Brain: The Neurobiology of Everyday Life (University of Chicago): to explore specific topics. Not necessary for course.
- Medical Neuroscience (Duke University): to explore specific topics. Not necessary for course.
- MOOC
- MOOC
- Videos
- Essence of linear algebra (3Blue1Brown): great resource to develop a visual/geometric understanding and intuition of concepts.
- MOOC
- Calculus 1 (Khan Academy)
- Calculus 1 (Ohio State University) (Bonus: highly entertaining!)
- MOOC
- Papers
- Books
- Poldrack, Statistical Thinking for the 21st century: open-source book.
While you will only need to program during the CPC Zurich if you attend the tutorials, this is crucial skill to develop if you wish do research or work in the field of Computational Psychiatry! Here are a few resources to get started.
- MOOC