What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Artificial intelligence
- Cognition
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 most cited work include:
- Computational psychiatry as a bridge from neuroscience to clinical applications (380 citations)
- Serotonin in Affective Control (258 citations)
- Bonsai Trees in Your Head: How the Pavlovian System Sculpts Goal-Directed Choices by Pruning Decision Trees (249 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Neuroscience (26.44%)
- Cognitive psychology (29.89%)
- Psychiatry (28.16%)
What were the highlights of his more recent work (between 2019-2021)?
- Cognition (27.01%)
- Clinical psychology (16.67%)
- Functional magnetic resonance imaging (20.11%)
In recent papers he was focusing on the following fields of study:
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.
Between 2019 and 2021, his most popular works were:
- Dissociating neural learning signals in human sign- and goal-trackers. (14 citations)
- Dissociating neural learning signals in human sign- and goal-trackers. (14 citations)
- Dissociating neural learning signals in human sign- and goal-trackers. (14 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Cognition
- Neuroscience
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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