One of the key aims of computational neuroscience is to construct theoretical accounts of mental function that link characterizations of neurobiology, psychology and aspects of the environment. In Computational Psychiatry, these theories, realized in models at various scales, are used to elucidate psychiatric conditions.Since 2014, UCL and partners have organized annual Computational Psychiatry Courses in both the UK and USA. The Computational Psychiatry field is maturing, and to reflect this development, the Course will henceforth be a Conference in which both trainees and faculty can present their work, with an additional tutorial session for trainees wishing to learn more.

The Computational Psychiatry Conference (7^th and 8^th July) will contain six sessions, each with a keynote talk from senior faculty and also contributed talks and panel discussions. The session themes will include Diagnostics, Reinforcement Learning models, Individual-level prediction, Development, Animal models and Treatments. There will also be poster sessions on both days.

The tutorial session (afternoon of 6^th July) will contain three introductory talks on psychiatry for non-clinicians, behavioural modelling using Bayesian inference and Reinforcement Learning, and machine learning.

Places are limited to 200 each for the tutorial and Gala dinner: please purchase tickets for these events when purchasing your Conference ticket below. 

Prerequisites:

- You should have a strong interest in applying computational methods to psychiatric research.

- Prior experience in psychiatry or computational modelling is useful but not essential.