2017

Computational Psychiatry:
a didactic introduction

Friday November 10
7:30-8:00
Registration

Session I (Chair: Xiaosi Gu)
8:00-8:40
Jonathan Cohen, Princeton University

The need and promise of Computational Psychiatry

8:40-9:20
Martin Paulus, Laureate Institute for Brain Research

Connecting neuroscience with clinical care

9:20-10:00
Anne Collins, University of California, Berkeley

Reinforcement learning models

10:00-10:30
Coffee Break

10:30-11:10
Danielle Bassett, University of Pennsylvania

Network science approaches to neural function

11:10-11:50
Stephanie Jones, Brown University

Modeling human neural dynamics in health and disease

11:50-13:50
Lunch Break (on your own)

Session II(Chair: Martin Paulus)
13:50-14:30
Peter Dayan, University College London

Bayesian decision theory

14:30-15:10
Pearl Chiu, Virginia Polytechnic Institute & State University

Computational Psychiatry of depression and PTSD

15:10-15:40
Coffee Break

15:40-16:20
Philip Corlett, Yale University

Predictive models of mental disease

16:20-17:00
Michael Frank, Brown University

Reinforcement learning in action

17:00-17:40
Panel Discussion (Chair: Peter Dayan)

17:40-19:30
Happy Hour

Saturday November 11
Session III (Chair: Read Montague)
8:00-8:40
Yael Niv, Princeton University

Modeling mood disorders

8:40-9:20
Xiaosi Gu, University of Texas, Dallas

Modeling subjective states and application to addiction

9:20-10:00
Stephen LaConte, Virginia Polytechnic Institute & State University

Real-time fMRI and prediction of craving states

10:00-10:30
Coffee Break

10:30-11:10
Rick Adams, University College London

Schizophrenia models

11:10-11:50
Read Montague, Virginia Polytechnic Institute & State University, University College London

Computational phenotyping in health and disease