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Computational psychiatry as a bridge from neuroscience to clinical applications

Nature neuroscience, 2016-03, Vol.19 (3), p.404-413

2016

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Advances in the computational understanding of mental illness

Neuropsychopharmacology (New York, N.Y.), 2021-01, Vol.46 (1), p.3-19

2021

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Bonsai trees in your head: how the pavlovian system sculpts goal-directed choices by pruning decision trees

PLoS computational biology, 2012-03, Vol.8 (3), p.e1002410-e1002410

2012

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The anchoring bias reflects rational use of cognitive resources

Psychonomic bulletin & review, 2018-02, Vol.25 (1), p.322-349

2018

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Striatal dysfunction during reversal learning in unmedicated schizophrenia patients

NeuroImage (Orlando, Fla.), 2014-04, Vol.89 (100), p.171-180

2014

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Disentangling the roles of approach, activation and valence in instrumental and pavlovian responding

PLoS computational biology, 2011-04, Vol.7 (4), p.e1002028-e1002028

2011

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Interplay of approximate planning strategies

Proceedings of the National Academy of Sciences - PNAS, 2015-03, Vol.112 (10), p.3098-3103

2015

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Serotonin in Affective Control

Annual review of neuroscience, 2009-06, Vol.32 (1), p.95-126

2009

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Ventral striatal dopamine reflects behavioral and neural signatures of model-based control during sequential decision making

Proceedings of the National Academy of Sciences - PNAS, 2015-02, Vol.112 (5), p.1595-1600

2015

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Computational Psychiatry: towards a mathematically informed understanding of mental illness

Journal of neurology, neurosurgery and psychiatry, 2016-01, Vol.87 (1), p.53-63

2016

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Computational Mechanisms of Effort and Reward Decisions in Patients With Depression and Their Association With Relapse After Antidepressant Discontinuation

JAMA psychiatry (Chicago, Ill.), 2020-05, Vol.77 (5), p.513

2020

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Differential, but not opponent, effects of l-DOPA and citalopram on action learning with reward and punishment

Psychopharmacology, 2014-03, Vol.231 (5), p.955-966

2014

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Depression: A Decision-Theoretic Analysis

Annual review of neuroscience, 2015-07, Vol.38 (1), p.1-23

2015

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Serotonin, inhibition, and negative mood

PLoS computational biology, 2008-02, Vol.4 (2), p.e4-e4

2008

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Heuristics in risky decision-making relate to preferential representation of information

Nature communications, 2024-05, Vol.15 (1), p.4269-4269, Article 4269

2024

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Advancing Clinical Improvements for Patients Using the Theory-Driven and Data-Driven Branches of Computational Psychiatry

JAMA psychiatry (Chicago, Ill.), 2018-03, Vol.75 (3), p.225

Huys, Quentin J. M.

2018

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Action dominates valence in anticipatory representations in the human striatum and dopaminergic midbrain

The Journal of neuroscience, 2011-05, Vol.31 (21), p.7867-7875

2011

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Explaining distortions in metacognition with an attractor network model of decision uncertainty

PLoS computational biology, 2021-07, Vol.17 (7), p.e1009201-e1009201

2021

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Amygdala Reactivity, Antidepressant Discontinuation, and Relapse

JAMA psychiatry (Chicago, Ill.), 2024-09

2024

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Model-Based and Model-Free Control Predicts Alcohol Consumption Developmental Trajectory in Young Adults: A 3-Year Prospective Study

Biological psychiatry (1969), 2021-05, Vol.89 (10), p.980-989

2021

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Empirical evidence for resource-rational anchoring and adjustment

Psychonomic bulletin & review, 2018-04, Vol.25 (2), p.775-784

2018

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Major Depression Impairs the Use of Reward Values for Decision-Making

Scientific reports, 2018-09, Vol.8 (1), p.13798-8, Article 13798

2018

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Low predictive power of clinical features for relapse prediction after antidepressant discontinuation in a naturalistic setting

Scientific reports, 2022-07, Vol.12 (1), p.11171-11171, Article 11171

2022

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The relationship between resting-state functional connectivity, antidepressant discontinuation and depression relapse

Scientific reports, 2020-12, Vol.10 (1), p.22346-10, Article 22346

2020

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A Bayesian formulation of behavioral control

Cognition, 2009-12, Vol.113 (3), p.314-328

2009

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Computational psychiatry as a bridge from neuroscience to clinical applications

Advances in the computational understanding of mental illness

Bonsai trees in your head: how the pavlovian system sculpts goal-directed choices by pruning decision trees

The anchoring bias reflects rational use of cognitive resources

Striatal dysfunction during reversal learning in unmedicated schizophrenia patients

Disentangling the roles of approach, activation and valence in instrumental and pavlovian responding

Interplay of approximate planning strategies

Serotonin in Affective Control

Ventral striatal dopamine reflects behavioral and neural signatures of model-based control during sequential decision making

Computational Psychiatry: towards a mathematically informed understanding of mental illness

Computational Mechanisms of Effort and Reward Decisions in Patients With Depression and Their Association With Relapse After Antidepressant Discontinuation

Differential, but not opponent, effects of l-DOPA and citalopram on action learning with reward and punishment

Depression: A Decision-Theoretic Analysis

Serotonin, inhibition, and negative mood

Heuristics in risky decision-making relate to preferential representation of information

Advancing Clinical Improvements for Patients Using the Theory-Driven and Data-Driven Branches of Computational Psychiatry

Action dominates valence in anticipatory representations in the human striatum and dopaminergic midbrain

Explaining distortions in metacognition with an attractor network model of decision uncertainty

Amygdala Reactivity, Antidepressant Discontinuation, and Relapse

Model-Based and Model-Free Control Predicts Alcohol Consumption Developmental Trajectory in Young Adults: A 3-Year Prospective Study

Empirical evidence for resource-rational anchoring and adjustment

Major Depression Impairs the Use of Reward Values for Decision-Making

Low predictive power of clinical features for relapse prediction after antidepressant discontinuation in a naturalistic setting

The relationship between resting-state functional connectivity, antidepressant discontinuation and depression relapse

A Bayesian formulation of behavioral control

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