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F83 Computational Psychiatry Course 2017.

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F83 Computational Psychiatry Course 2017.
Dates of Event
24th July 2017 – 25th July 2017
Last Booking Date for this Event
24th July 2017
Places Available

One of the central concerns in computational neuroscience is to construct theoretical accounts of normal 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 dysfunction.



This course aims to equip the next generation of scientists and clinicians who study mental disorder with the tools to understand, to build, to analyse and to critically evaluate computational models of mental function and dysfunction.



The Computational Psychiatry Course has been completely redesigned according to the feedback we received in 2015; it now focuses on how to use computational models yourself, although some examples from the fields of schizophrenia, depression/anxiety and addiction will also be covered. Regarding the use of models, we shall cover:

-       computational accounts of inference, choice and interaction between agents

-       how dysfunction could arise in such accounts

-       building models and designing experiments to test them

-       fitting models to data



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

- No prior experience in psychiatry or computational modelling is required.




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