| Computational psychiatry as a bridge from neuroscience to clinical applications QJM Huys, TV Maia, MJ Frank Nature neuroscience 19 (3), 404-413, 2016 | 1114 | 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 | 506 | 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 | 473 | 2012 |
| 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 | 445 | 2013 |
| Serotonin in affective control P Dayan, QJM Huys Annual review of neuroscience 32 (1), 95-126, 2009 | 443 | 2009 |
| Disentangling the roles of approach, activation and valence in instrumental and pavlovian responding QJM Huys, R Cools, M Gölzer, E Friedel, A Heinz, RJ Dolan, P Dayan PLoS computational biology 7 (4), e1002028, 2011 | 432 | 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 | 366 | 2016 |
| 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 | 344 | 2018 |
| Dopamine restores reward prediction errors in old age R Chowdhury, M Guitart-Masip, C Lambert, P Dayan, Q Huys, E Düzel, ... Nature neuroscience 16 (5), 648-653, 2013 | 330 | 2013 |
| 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 | 305 | 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 | 304 | 2014 |
| 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 | 300 | 2015 |
| Serotonin, inhibition, and negative mood P Dayan, QJM Huys PLoS computational biology 4 (2), e4, 2008 | 297 | 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 | 256 | 2011 |
| Depression: a decision-theoretic analysis QJM Huys, ND Daw, P Dayan Annual review of neuroscience 38 (1), 1-23, 2015 | 239 | 2015 |
| 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 | 234 | 2013 |
| 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 | 212 | 2016 |
| Model-based and model-free decisions in alcohol dependence M Sebold, L Deserno, S Nebe, DJ Schad, M Garbusow, C Hägele, ... Neuropsychobiology 70 (2), 122-131, 2014 | 210 | 2014 |
| Efficient estimation of detailed single-neuron models QJM Huys, MB Ahrens, L Paninski Journal of neurophysiology 96 (2), 872-890, 2006 | 194 | 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 | 190 | 2016 |
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