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Computational psychiatry is a rapidly growing field at the intersection of psychiatry, neuroscience and theoretical sciences. In-depth tutorials can greatly enhance the dialogue between fields.
This one-day meeting will provide three tutorials on reinforcement learning. In three two-hour sessions, we will start with the basics of model formulation, validation and fitting, and then move through a broad variety of applications of RL methods to issues across the diagnostic and clinical spectrum.
Slides for the talks are provided below in the programme.
There was also a paired symposium "On the computational structure of mood and anxiety disorders" in the main conference. Slides for some of the talks are here.
Below are some recent publications on the topic.
