Quentin Huys

Affiliations: 
UCL, Columbia, Columbia, MD, United States 
Area:
Computational Neuroscience, psychiatry
Website:
http://www.gatsby.ucl.ac.uk/~qhuys
Google:
"Quentin Huys"
Cross-listing: Neurotree - PsychTree

Parents

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Roger HS Carpenter research assistant Cambridge (Neurotree)
Peter Dayan grad student UCL, Columbia University (Neurotree)
Liam Paninski post-doc UCL, Columbia University (Neurotree)

Children

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Falk Lieder research assistant 2012-2013 ETH/Uni Zurich (PsychTree)
Anahita Talwar grad student (Neurotree)

Collaborators

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Roshan Cools collaborator UCL (Neurotree)
Marc Guitart-Masip collaborator UCL (Neurotree)
Vincent S. Huang collaborator UCL, Columbia (Neurotree)
Peggy Seriès collaborator Edinburgh (Neurotree)
BETA: Related publications

Publications

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Charpentier CJ, Faulkner P, Pool ER, et al. (2021) How Representative are Neuroimaging Samples? Large-Scale Evidence for Trait Anxiety Differences Between fMRI and Behaviour-Only Research Participants. Social Cognitive and Affective Neuroscience
Chen H, Mojtahedzadeh N, Belanger MJ, et al. (2021) Model-Based and Model-Free Control Predicts Alcohol Consumption Developmental Trajectory in Young Adults: A 3-Year Prospective Study. Biological Psychiatry
Sebold M, Garbusow M, Cerci D, et al. (2021) Association of the A118G polymorphism and Pavlovian-to-instrumental transfer: Clinical relevance for alcohol dependence. Journal of Psychopharmacology (Oxford, England). 269881121991992
Faulkner P, Huys QJM, Renz D, et al. (2021) A comparison of 'pruning' during multi-step planning in depressed and healthy individuals. Psychological Medicine. 1-9
Berwian IM, Wenzel JG, Kuehn L, et al. (2020) The relationship between resting-state functional connectivity, antidepressant discontinuation and depression relapse. Scientific Reports. 10: 22346
Chen H, Nebe S, Mojtahedzadeh N, et al. (2020) Susceptibility to interference between Pavlovian and instrumental control is associated with early hazardous alcohol use. Addiction Biology. e12983
Huys QJM, Browning M, Paulus M, et al. (2020) Advances in the computational understanding of mental illness. Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology
Russek EM, Moran R, McNamee D, et al. (2020) Opportunities for emotion and mental health research in the resource-rationality framework. The Behavioral and Brain Sciences. 43: e21
Browning M, Carter CS, Chatham C, et al. (2020) Realizing the Clinical Potential of Computational Psychiatry: Report From the Banbury Center Meeting, February 2019. Biological Psychiatry
Berwian IM, Wenzel JG, Collins AGE, et al. (2020) Computational Mechanisms of Effort and Reward Decisions in Patients With Depression and Their Association With Relapse After Antidepressant Discontinuation. Jama Psychiatry
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