Computational Psychiatry - IPAM

Computational Psychiatry

February 18 - 21, 2020

Schedule

All times in this Schedule are Pacific Time (PT)

Tuesday, February 18, 2020

Morning Session

08:00-08:55
Check-In/Light Breakfast (Hosted by IPAM)
08:55-09:00
Welcome & Opening Remarks: Dean Miguel García-Garibay (Dean of Physical Sciences, UCLA) and Dima Shlyakhtenko (Director, IPAM)
09:00-09:50
Emery Brown (Massachusetts Institute of Technology)
Deciphering the Dynamics of the Unconscious Brain Under General Anesthesia
10:00-10:15
Break
10:15-11:05
Nancy Kopell (Boston University)
Rhythms and Brain Disorders
11:15-11:30
Break
11:30-12:20
Marti Jett (Army Futures Command, Medical Research, Fort Detrick)
Integration of Multi-molecular Systemic Studies with Physiologic and Clinical features applied to Post-Traumatic Stress Disorder (PTSD): identification of subgroups.

Afternoon Session

12:30-14:30
Lunch (on your own)
14:30-15:20
Pendleton Montague (Virginia Tech Carilion)
Invasive approaches in the future of Computational Psychiatry
15:30-16:00
Break
16:00-16:50
Daniel Durstewitz (Ruprecht-Karls-Universität Heidelberg)
Deep Learning of dynamical systems for mechanistic insight and prediction in psychiatry
17:00-18:30
Poster Session & Reception (Hosted by IPAM)

Wednesday, February 19, 2020

Morning Session

08:00-09:00
Check-In/Breakfast (Hosted by IPAM)
09:00-09:50
Shashaank Vattikuti (National Institutes of Health (NIH))
Perceptual rivalry as a window into cognition
10:00-10:15
Break
10:15-11:05
Justin Baker (Harvard Medical School)
Sensing Psychosis: Toward Robust Computational Phenotypes in Severe Mental Illness
11:15-11:30
Break
11:30-12:20
Sarah Yip (Yale University)
Connectome-based modeling of real world clinical outcomes in addictions

Afternoon Session

12:30-14:30
Lunch (on your own)
14:30-15:20
Danilo Bzdok (McGill University)
Algorithmic Analytics towards Precision Psychiatry
15:30-16:00
Break
16:00-16:50
A. David Redish (University of Minnesota, Twin Cities)
Cross-species translation through computational analyses - implications for understanding and modifying psychiatric treatments

Thursday, February 20, 2020

Morning Session

08:00-09:00
Check-In/Breakfast (Hosted by IPAM)
09:00-09:50
Daniel Bennett (Princeton University)
Modelling mood and mood disorders with reinforcement learning
10:00-10:15
Break
10:15-11:05
Daniel Forger (University of Michigan)
Computational Psychiatry from the bottom up (whole brain simulation) and top down (analysis of wearable data)
11:15-11:30
Break
11:30-12:20
Deanna Barch (Washington University in St. Louis)
Computational Contributions to Understanding Impaired Motivation and Effort in Psychosis

Afternoon Session

12:30-14:00
Lunch (on your own)
14:00-14:50
Martin Paulus (University of California, San Diego (UCSD))
Decision-Making and Computational Psychiatry: An Explanatory and Pragmatic Perspective
15:00-15:15
Break
15:15-16:05
Samuel Neymotin (The Nathan S. Kline Institute for Psychiatric Research (NKI))
Using Biophysical Computational Neural Models to Investigate Neuropsychiatric Disorders
16:15-16:30
Break
16:30-17:20
Michele Ferrante (National Institutes of Health (NIH))
Computational Psychiatry: Funding Opportunities and New Research Directions
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