Quentin Huys, MBBS PhD

Quentin Huys, MBBS PhD, Dr. med.

Clinical Senior Lecturer

Division of Psychiatry Deputy Director

UCL Max Planck Centre for Computational Psychiatry and Ageing Research

University College London Honorary Consultant Psychiatrist

Camden and Islington NHS Foundation Trust


I build computational models of cognitive and emotional processes in an attempt to improve our understanding and treatment of mental illnesses, particularly depression and substance use. My lab currently focuses on using neural and behavioural computational markers to predict relapse after antidepressant discontinuation, and on using computational models to examine value-based decision-making.

Selected Publications

Schad, Rapp, Garbusow, Nebe, Obst, Sommer, Sebold, Deserno, Rabovsky, Friedel, Romanczuk-Seiferth, Wittchen, Zimmermann, Walter, Sterzer, Smolka, Schlagenhauf, Heinz, Dayan, Huys (2019): Dissociating neural learning signals in human sign- and goal-trackers Nature Human Behaviour (IF: 10.575)2019 doi:



Lally*, Huys*, Eshel, Faulkner, Dayan and Roiser (2017): The neural basis of aversive Pavlovian guidance during planning. Journal of Neuroscience (IF: 5.790), 37(42):10215-10229


Deserno, Huys, Boehme, Buchert, Heinze, Gace, Dolan, Heinz, Schlagenhauf (2015): Ventral Striatal Dopamine Reflects Behavioral and Neural Signatures of Model-Based Control during Sequential Decision Making. Proceedings of the National Academy of Sciences (IF: 9.504), 112(5):1595-600


Huys, Lally, Faulkner, Seifritz, Gershman, Dayan and Roiser (2015): The interplay of approximate planning strategies. Proceedings of the National Academy of Sciences (IF: 9.504), 112(10):3098-3103


Huys, Bogdan, Pizzagalli and Dayan (2013): Mapping anhedonia onto reinforcement learning: a behavioural meta-analysis. Biology of Mood and Anxiety Disorders (IF: 4.14), 3:12


Guitart-Masip, Huys, Dayan and Dolan (2012): Go and no go learning in reward and punishment: interactions between affect and effect. Neuroimage (IF: 5.426), 62(1):154-66


Huys, Eshel, O'Nions, Sheridan, Dayan and Roiser (2012): Bonsai trees in your head. How Pavlovian systems sculpt goal-directed choices by pruning decision trees. PLoS Computational Biology (IF: 3.955), 8(3):e1002410


Berwian, Seifritz, Walter and Huys (2017): Predicting relapse after antidepressant discontinuation - a systematic review. Psychological Medicine (IF: 5.475), 47(3):426-437


Huys, Maia and Frank (2016): Computational Psychiatry as a bridge between neuroscience and clinicalapplications. Nature Neuroscience (IF: 19.912), 19(3):404­413


Paulus, Huys and Maia (2016): A Roadmap for the Development of Applied Computational Psychiatry. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 1(5):386-392