| States versus rewards: dissociable neural prediction error signals underlying model-based and model-free reinforcement learning J Gläscher, N Daw, P Dayan, JP O'Doherty Neuron 66 (4), 585-595, 2010 | 1354 | 2010 |
| Goals and habits in the brain RJ Dolan, P Dayan Neuron 80 (2), 312-325, 2013 | 1224 | 2013 |
| Neural prediction errors reveal a risk-sensitive reinforcement-learning process in the human brain Y Niv, JA Edlund, P Dayan, JP O'Doherty Journal of Neuroscience 32 (2), 551-562, 2012 | 411 | 2012 |
| Mapping value based planning and extensively trained choice in the human brain K Wunderlich, P Dayan, RJ Dolan Nature neuroscience 15 (5), 786-791, 2012 | 341 | 2012 |
| Adaptive integration of habits into depth-limited planning defines a habitual-goal–directed spectrum M Keramati, P Smittenaar, RJ Dolan, P Dayan Proceedings of the National Academy of Sciences 113 (45), 12868-12873, 2016 | 293 | 2016 |
| Varieties of Helmholtz machine P Dayan, GE Hinton Neural Networks 9 (8), 1385-1403, 1996 | 202 | 1996 |
| Effort and valuation in the brain: the effects of anticipation and execution IT Kurniawan, M Guitart-Masip, P Dayan, RJ Dolan Journal of Neuroscience 33 (14), 6160-6169, 2013 | 195 | 2013 |
| A Bayesian formulation of behavioral control QJM Huys, P Dayan Cognition 113 (3), 314-328, 2009 | 158 | 2009 |
| Locus coeruleus integrity in old age is selectively related to memories linked with salient negative events D Hämmerer, MF Callaghan, A Hopkins, J Kosciessa, M Betts, ... Proceedings of the National Academy of Sciences 115 (9), 2228-2233, 2018 | 134 | 2018 |
| Persecutory delusions and the conditioned avoidance paradigm: towards an integration of the psychology and biology of paranoia M Moutoussis, J Williams, P Dayan, RP Bentall Cognitive neuropsychiatry 12 (6), 495-510, 2007 | 126 | 2007 |
| Temporal structure in associative retrieval Z Kurth-Nelson, G Barnes, D Sejdinovic, R Dolan, P Dayan elife 4, e04919, 2015 | 79 | 2015 |
| Selective Bayes: Attentional load and crowding P Dayan, JA Solomon Vision research 50 (22), 2248-2260, 2010 | 55 | 2010 |
| A computational model of aesthetic value. AA Brielmann, P Dayan Psychological review 129 (6), 1319, 2022 | 29 | 2022 |
| Uncertainty, phase and oscillatory hippocampal recall M Lengyel, P Dayan Advances in neural information processing systems 19, 2006 | 22 | 2006 |
| When unsupervised training benefits category learning F Bröker, BC Love, P Dayan Cognition 221, 104984, 2022 | 18 | 2022 |
| Improving policies without measuring merits P Dayan, S Singh Advances in neural information processing systems 8, 1995 | 18 | 1995 |
| The role of background statistics in face adaptation J Wu, H Xu, P Dayan, N Qian Journal of Neuroscience 29 (39), 12035-12044, 2009 | 11 | 2009 |
| The pursuit of happiness: A reinforcement learning perspective on habituation and comparisons R Dubey, TL Griffiths, P Dayan PLoS computational biology 18 (8), e1010316, 2022 | 9 | 2022 |
| Introducing a computational model of aesthetic value AA Brielmann, P Dayan Psychol. Rev, 2021 | 9 | 2021 |
| Optimal decisions for contrast discrimination AN Sanborn, P Dayan Journal of Vision 11 (14), 9-9, 2011 | 9 | 2011 |
Rômulo José da Costa RibeiroProfessor de Pós-graduação em Arquitetura e Urbanismo, Universidade de BrasíliaVerified email at unb.br
