Quentin Huys
Cited by
Cited by
Computational psychiatry as a bridge from neuroscience to clinical applications
QJM Huys, TV Maia, MJ Frank
Nature neuroscience 19 (3), 404-413, 2016
Bonsai trees in your head: how the pavlovian system sculpts goal-directed choices by pruning decision trees
QJM Huys, N Eshel, E O'Nions, L Sheridan, P Dayan, JP Roiser
PLoS computational biology 8 (3), e1002410, 2012
Go and no-go learning in reward and punishment: interactions between affect and effect
M Guitart-Masip, QJM Huys, L Fuentemilla, P Dayan, E Duzel, RJ Dolan
Neuroimage 62 (1), 154-166, 2012
Serotonin in affective control
P Dayan, QJM Huys
Annual review of neuroscience 32 (1), 95-126, 2009
Mapping anhedonia onto reinforcement learning: a behavioural meta-analysis
QJM Huys, DA Pizzagalli, R Bogdan, P Dayan
Biology of mood & anxiety disorders 3, 1-16, 2013
Disentangling the roles of approach, activation and valence in instrumental and pavlovian responding
QJM Huys, R Cools, M Glzer, E Friedel, A Heinz, RJ Dolan, P Dayan
PLoS computational biology 7 (4), e1002028, 2011
Computational psychiatry: towards a mathematically informed understanding of mental illness
RA Adams, QJM Huys, JP Roiser
Journal of Neurology, Neurosurgery & Psychiatry 87 (1), 53-63, 2016
Dopamine restores reward prediction errors in old age
R Chowdhury, M Guitart-Masip, C Lambert, P Dayan, Q Huys, E Dzel, ...
Nature neuroscience 16 (5), 648-653, 2013
The anchoring bias reflects rational use of cognitive resources
F Lieder, TL Griffiths, QJ M. Huys, ND Goodman
Psychonomic bulletin & review 25, 322-349, 2018
Ventral striatal dopamine reflects behavioral and neural signatures of model-based control during sequential decision making
L Deserno, QJM Huys, R Boehme, R Buchert, HJ Heinze, AA Grace, ...
Proceedings of the National Academy of Sciences 112 (5), 1595-1600, 2015
Interplay of approximate planning strategies
QJM Huys, N Lally, P Faulkner, N Eshel, E Seifritz, SJ Gershman, ...
Proceedings of the National Academy of Sciences 112 (10), 3098-3103, 2015
Striatal dysfunction during reversal learning in unmedicated schizophrenia patients
F Schlagenhauf, QJM Huys, L Deserno, MA Rapp, A Beck, HJ Heinze, ...
Neuroimage 89, 171-180, 2014
Serotonin, inhibition, and negative mood
P Dayan, QJM Huys
PLoS computational biology 4 (2), e4, 2008
Action dominates valence in anticipatory representations in the human striatum and dopaminergic midbrain
M Guitart-Masip, L Fuentemilla, DR Bach, QJM Huys, P Dayan, RJ Dolan, ...
Journal of Neuroscience 31 (21), 7867-7875, 2011
Frontal theta overrides pavlovian learning biases
JF Cavanagh, I Eisenberg, M Guitart-Masip, Q Huys, MJ Frank
Journal of Neuroscience 33 (19), 8541-8548, 2013
Depression: a decision-theoretic analysis
QJM Huys, ND Daw, P Dayan
Annual review of neuroscience 38 (1), 1-23, 2015
Charting the landscape of priority problems in psychiatry, part 1: classification and diagnosis
KE Stephan, DR Bach, PC Fletcher, J Flint, MJ Frank, KJ Friston, A Heinz, ...
The Lancet Psychiatry 3 (1), 77-83, 2016
Model-based and model-free decisions in alcohol dependence
M Sebold, L Deserno, S Nebe, DJ Schad, M Garbusow, C Hgele, ...
Neuropsychobiology 70 (2), 122-131, 2014
Efficient estimation of detailed single-neuron models
QJM Huys, MB Ahrens, L Paninski
Journal of neurophysiology 96 (2), 872-890, 2006
P avlovian‐to‐instrumental transfer effects in the nucleus accumbens relate to relapse in alcohol dependence
M Garbusow, DJ Schad, M Sebold, E Friedel, N Bernhardt, SP Koch, ...
Addiction biology 21 (3), 719-731, 2016
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