Quentin J. M. Huys mainly investigates Neuroscience, Dopamine, Cognitive psychology, Prefrontal cortex and Valence. His Ventral tegmental area, Ventral striatum and Brain mapping study in the realm of Neuroscience interacts with subjects such as Function. In general Dopamine study, his work on Nucleus accumbens, Striatum and Dopaminergic often relates to the realm of Context, thereby connecting several areas of interest.
His research in Cognitive psychology intersects with topics in Mood disorders, Decision tree learning, Behavioral neuroscience and Mood. His work focuses on many connections between Prefrontal cortex and other disciplines, such as Addiction, that overlap with his field of interest in Alcohol dependence, Behavioral testing and Chronic alcohol. As part of the same scientific family, Quentin J. M. Huys usually focuses on Valence, concentrating on Incentive salience and intersecting with Computational model, Inference and Mental illness.
His primary areas of study are Neuroscience, Cognitive psychology, Psychiatry, Cognition and Reinforcement learning. His studies in Dopamine, Ventral striatum, Functional magnetic resonance imaging, Ventral tegmental area and Valence are all subfields of Neuroscience research. His Cognitive psychology research integrates issues from Decision tree, Artificial intelligence, Pruning, Working memory and Go/no go.
His research in the fields of Decision tree learning overlaps with other disciplines such as Loss aversion. Quentin J. M. Huys has included themes like Computational neuroscience and Computational model in his Psychiatry study. Quentin J. M. Huys has researched Reinforcement learning in several fields, including Social psychology, Punishment, Addiction and Cognitive science.
Quentin J. M. Huys focuses on Cognition, Clinical psychology, Functional magnetic resonance imaging, Cognitive psychology and Depression. His Cognition study deals with the bigger picture of Psychiatry. His work in the fields of Clinical psychology, such as Mood, overlaps with other areas such as Screening procedures.
His biological study spans a wide range of topics, including Speech recognition, Anticipation and Computational model. As part of his studies on Cognitive psychology, Quentin J. M. Huys frequently links adjacent subjects like Mental health. His Computational neuroscience research includes elements of Reinforcement learning, Cognitive science and Bayesian inference.
His scientific interests lie mostly in Center, Biological psychiatry, Library science, Computational model and Fixation. His studies in Computational model integrate themes in fields like Speech recognition, Functional magnetic resonance imaging, Anticipation and Gaze. Quentin J. M. Huys integrates many fields, such as Fixation, Classical conditioning and Pupillometry, in his works.
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Computational psychiatry as a bridge from neuroscience to clinical applications
Quentin J M Huys;Tiago V Maia;Michael J Frank.
Nature Neuroscience (2016)
Serotonin in Affective Control
Peter Dayan;Quentin J.M. Huys.
Annual Review of Neuroscience (2009)
Bonsai Trees in Your Head: How the Pavlovian System Sculpts Goal-Directed Choices by Pruning Decision Trees
Quentin J. M. Huys;Quentin J. M. Huys;Quentin J. M. Huys;Neir Eshel;Elizabeth J. P. O'Nions;Luke Sheridan.
PLOS Computational Biology (2012)
Go and no-go learning in reward and punishment: interactions between affect and effect.
Marc Guitart-Masip;Quentin J.M. Huys;Quentin J.M. Huys;Lluis Fuentemilla;Peter Dayan.
Disentangling the Roles of Approach, Activation and Valence in Instrumental and Pavlovian Responding
Quentin J. M. Huys;Roshan Cools;Martin Gölzer;Eva Friedel.
PLOS Computational Biology (2011)
Mapping anhedonia onto reinforcement learning: a behavioural meta-analysis
Quentin Jm Huys;Diego A Pizzagalli;Ryan Bogdan;Peter Dayan.
Huys, Quentin Jm; Pizzagalli, Diego A; Bogdan, Ryan; Dayan, Peter (2013). Mapping anhedonia onto reinforcement learning: a behavioural meta-analysis. Biology of Mood & Anxiety Disorders, 3:12. (2013)
Dopamine restores reward prediction errors in old age
Rumana Chowdhury;Marc Guitart-Masip;Marc Guitart-Masip;Christian Lambert;Christian Lambert;Peter Dayan.
Nature Neuroscience (2013)
Ventral striatal dopamine reflects behavioral and neural signatures of model-based control during sequential decision making
Lorenz Deserno;Lorenz Deserno;Lorenz Deserno;Quentin J. M. Huys;Rebecca Boehme;Ralph Buchert.
Proceedings of the National Academy of Sciences of the United States of America (2015)
Serotonin, Inhibition, and Negative Mood
Peter Dayan;Quentin J. M Huys;Quentin J. M Huys.
PLOS Computational Biology (2005)
Striatal dysfunction during reversal learning in unmedicated schizophrenia patients
Florian Schlagenhauf;Quentin J. M. Huys;Lorenz Deserno;Michael A. Rapp.
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