2019 Computational Psychiatry Summer Course

Course materials can be found here

July 29-30, 2019

The Metropolitan Museum of Art, New York, NY

Bonnie J. Sacerdote Lecture Hall (enter on 81st St and 5th Ave)

Cost (including talks, coffee/tea/snack, and lunch on both days, plus free entry to the museum):

£180 GBP (after April 1st, 2019)

Register for the main event here

Sign up for updates here

*New feature: Register for the free pre-course introductory workshop here

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 ABOUT

What is Computational Psychiatry?

Computational psychiatry is a new interdisciplinary field which seeks to characterize mental disorders in terms of aberrant computations at multiple scales. In recent years the field of human neuroscience, particularly functional neuroimaging, has begun to address the underlying neurobiology of changes in brain function related to psychiatric disease. This effort has produced some exciting early discoveries, but it has also highlighted the need for computational models that can bridge the explanatory gap between pathophysiology and psychopathology. The expertise and quantitative tools required to address this gap exist only across disciplines, combining skills and knowledge from investigators and clinicians that are jointly interested in solving problems of mental health. 

What Is the Aim and Scope of This Course?

​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.

What are the prerequisites for attending this course?

 - 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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 SPEAKERS

 
 
 

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SCHEDULE

(tentative)

Day 1, Monday, July 29, 2019

 

9:00 AM    Rene Kahn: Opening speech

9:15 AM    Peter Dayan: Theoretical approaches to function and dysfunction

 

9:45 AM    Christoph Mathys: Bayesian inference

 

10:30 AM  Coffee break (included)

 

11:00 AM  Peter Dayan: Reinforcement learning

 

11:45 AM  Nathaniel Daw: Model-based and model-free control

 

12:30 PM  Lunch break (included)

1:30 PM    Read Montague: Social agents

2:15 PM    Yael Niv: Model fitting and model comparison

 

3:00 PM    Coffee break (included)

3:30 PM    Yael Niv: Modeling example

4:15 PM    Guillermo Cecchi: Natural language processing in disorders


4:30 PM    Michele Ferrante: NIH funding opportunities for computational psychiatry

4:45 PM    Panel discussion with Jean Zarate

5:30 PM    End

 

6:15 PM    Networking reception (The Auction House, 300 E 89th St, New York)

 

Day 2, Tuesday, July 30, 2019

 

9:00 AM    Rick Adams: Schizophrenia

9:40 AM    Becky Lawson: Autism Spectrum Disorder

10:20 AM  Coffee break (included)

 

10:50 AM  Robb Rutledge: Depression

11:30 AM  Sonia Bishop: Anxiety

12:10 PM  Lunch break (included)

2:10 PM    Daniela Schiller: Trauma-related disorders

2:50 PM    Xiaosi Gu: Addiction

 

3:30 PM    Coffee break (included)

 

4:00 PM    Read Montague: Deep phenotyping

4:20 PM    Matthew Botvinick: AI, neuroscience, and psychiatry (Keynote)*

5:30 PM    End 

 

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Registration

Registration is now open! Please use this link

July 29-30, 2019

The Metropolitan Museum, New York, NY

Bonnie J. Sacerdote Lecture Hall (enter on 81st St and 5th Ave)