Computational Psychiatry
What Can Theoretical Neuroscience and
Psychiatry Teach Each Other?
June 28–July 3, 2015
Frankfurt am Main, Germany
A. David Redish and Joshua Gordon, Chairpersons
Program Advisory Committee
Huda Akil, The Molecular and Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109-5720, U.S.A.
Joshua A. Gordon, New York State Psychiatric Institute, Columbia University, New York, NY 10032, U.S.A.
Julia Lupp, Ernst Strüngmann Forum, Frankfurt, Germany
John P. O'Doherty, Caltech Brain Imaging Center, California Institute of Technology, Pasadena, CA 91125, U.S.A.
Daniel S. Pine, National Institute of Mental Health, Bethesda, MD 20892-2670, U.S.A.
A. David Redish, Department of Neuroscience, University of Minnesota, Minneapolis, MN 55455, U.S.A.
Klaas Enno Stephan, Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Wilfriedstrasse 6, 8032 Zurich, Switzerland
Background
We start from the idea that computational psychiatry entails a reciprocal interaction between theoretical/computational neuroscience and psychiatry. We believe that these two disciplines are mutually informative and have much to learn from each other.
We define theoretical neuroscience as a formal description of mechanisms that underlie measured behavioral and brain processes. Computational approaches are a key component of the formalisms that underlie theoretical neuroscience. These formal descriptions can provide new perspectives about brain-behavior relationships and enable predictions that can be used to guide experimental design and interpretation. The hypothesis guiding this meeting is that these formal descriptions will prove to be useful in psychiatry, by informing classification, outcome-prediction, and therapeutics.
Goal
To discuss how new computational perspectives might be used to broaden
our mechanistic understanding of psychiatric dysfunction and improve
identification and treatment of psychiatric disorders.
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