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.
May 9, 2018 Hilton Midtown room Nassau New York City
There will be two sessions, each containing up to six 5-minute contributed presentations. The aim is to foster collaborations between theoreticians and experimentalists by allowing for specific data / theoretical ideas to be presented to the other 'side'.
Data in search of model: Submissions for this session should describe datasets and briefly outline the modelling questions they raise.
Model in search of data: Submissions for this session should describe the models and the theoretical predictions and may briefly outline possible experimental approaches.
If you have questions, please contact
Registration is now closed.
|Standard registration||until March 15th 2017||US$ 50|
|Late registration||after March 15th 2017||US$ 80|
All fees have to be paid in cash on the day.
The idea for this satellite arose in close connection with the Transcontinental Computational Psychiatry Workgroup TCPW, a monthly web-based meeting for computational psychiatry. We are very grateful for the support through the Society of Biological Psychiatry, and particularly its past President Kerry Ressler and its present President Carol Tamminga.