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Issues

Volume 1
October 2017
Computational Psychiatry Cover Image for Volume 1
All Issues
EISSN 2379-6227
In this Issue

EDITORIAL

Editorial
Peter Dayan, Read Montague
Computational Psychiatry (2017) 1: 1.
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RESEARCH

Computational Nosology and Precision Psychiatry
Karl J. Friston, A. David Redish, Joshua A. Gordon
Computational Psychiatry (2017) 1: 2–23.
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Revealing Neurocomputational Mechanisms of Reinforcement Learning and Decision-Making With the hBayesDM Package
Woo-Young Ahn, Nathaniel Haines, Lei Zhang
Computational Psychiatry (2017) 1: 24–57.
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Estimating Dynamic Signals From Trial Data With Censored Values
Ali Yousefi, Darin D. Dougherty, Emad N. Eskandar, Alik S. Widge, Uri T. Eden
Computational Psychiatry (2017) 1: 58–81.
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Implications of Information Theory for Computational Modeling of Schizophrenia
Steven M. Silverstein, Michael Wibral, William A. Phillips
Computational Psychiatry (2017) 1: 82–101.
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Computational Modeling of Contrast Sensitivity and Orientation Tuning in First-Episode and Chronic Schizophrenia
Steven M. Silverstein, Docia L. Demmin, James A. Bednar
Computational Psychiatry (2017) 1: 102–131.
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A Neural Model of Empathic States in Attachment-Based Psychotherapy
David Cittern, Abbas Edalat
Computational Psychiatry (2017) 1: 132–167.
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Can Peripheral Blood-Derived Gene Expressions Characterize Individuals at Ultra-high Risk for Psychosis?
Wilson Wen Bin Goh, Judy Chia-Ghee Sng, Jie Yin Yee, Yuen Mei See, Tih-Shih Lee ...
Computational Psychiatry (2017) 1: 168–183.
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A Theoretical Framework for Evaluating Psychiatric Research Strategies
Kentaro Katahira, Yuichi Yamashita
Computational Psychiatry (2017) 1: 184–207.
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Learning and Choice in Mood Disorders: Searching for the Computational Parameters of Anhedonia
Oliver J. Robinson, Henry W. Chase
Computational Psychiatry (2017) 1: 208–233.
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