| Speed/accuracy trade-off between the habitual and the goal-directed processes M Keramati*, A Dezfouli*, P Piray PLoS computational biology 7 (5), e1002055, 2011 | 453 | 2011 |
| Habits, action sequences and reinforcement learning A Dezfouli, BW Balleine European Journal of Neuroscience 35 (7), 1036-1051, 2012 | 390 | 2012 |
| Actions, action sequences and habits: evidence that goal-directed and habitual action control are hierarchically organized A Dezfouli, BW Balleine PLoS computational biology 9 (12), e1003364, 2013 | 290 | 2013 |
| Medial Orbitofrontal Cortex Mediates Outcome Retrieval in Partially Observable Task Situations LA Bradfield, A Dezfouli, M van Holstein, B Chieng, BW Balleine Neuron 88 (6), 1268–1280, 2015 | 206 | 2015 |
| Habits as action sequences: hierarchical action control and changes in outcome value A Dezfouli, NW Lingawi, BW Balleine Philosophical Transactions of the Royal Society B: Biological Sciences 369 …, 2014 | 176 | 2014 |
| Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies P Piray, A Dezfouli, T Heskes, MJ Frank, ND Daw PLoS computational biology 15 (6), e1007043, 2019 | 102 | 2019 |
| Hierarchical action control: Adaptive collaboration between actions and habits. BW Balleine, A Dezfouli Frontiers in Psychology 10, 2735, 2019 | 73 | 2019 |
| Scalable Inference for Gaussian Process Models with Black-Box Likelihoods A Dezfouli, E Bonilla Advances in Neural Information Processing Systems (NIPS), 2015 | 66 | 2015 |
| A neurocomputational model for cocaine addiction A Dezfouli, P Piray, MM Keramati, H Ekhtiari, C Lucas, A Mokri Neural computation 21 (10), 2869-2893, 2009 | 59 | 2009 |
| Models that learn how humans learn: The case of decision-making and its disorders A Dezfouli, K Griffiths, F Ramos, P Dayan, BW Balleine PLoS computational biology 15 (6), e1006903, 2019 | 58 | 2019 |
| Hierarchical control of goal-directed action in the cortical–basal ganglia network BW Balleine, A Dezfouli, M Ito, K Doya Current opinion in behavioral sciences 5, 1-7, 2015 | 58 | 2015 |
| Action-value comparisons in the dorsolateral prefrontal cortex control choice between goal-directed actions RW Morris*, A Dezfouli*, KR Griffiths, BW Balleine Nature communications 5, 2014 | 56 | 2014 |
| Individual differences in nucleus accumbens dopamine receptors predict development of addiction-like behavior: a computational approach P Piray, MM Keramati*, A Dezfouli*, C Lucas, A Mokri Neural computation 22 (9), 2334-2368, 2010 | 45 | 2010 |
| Adversarial vulnerabilities of human decision-making A Dezfouli, R Nock, P Dayan Proceedings of the National Academy of Sciences 117 (46), 29221-29228, 2020 | 38 | 2020 |
| Optimizing sequential experimental design with deep reinforcement learning T Blau, EV Bonilla, I Chades, A Dezfouli International conference on machine learning, 2107-2128, 2022 | 36 | 2022 |
| Tacticzero: Learning to prove theorems from scratch with deep reinforcement learning M Wu, M Norrish, C Walder, A Dezfouli Advances in Neural Information Processing Systems 34, 9330-9342, 2021 | 34 | 2021 |
| The psychological and physiological mechanisms of habit formation NW Lingawi, A Dezfouli, BW Balleine The Wiley handbook on the cognitive neuroscience of learning, 409-441, 2016 | 33 | 2016 |
| Disentangled behavioural representations A Dezfouli, H Ashtiani, O Ghattas, R Nock, P Dayan, CS Ong Advances in neural information processing systems 32, 2019 | 29 | 2019 |
| Optimizing the depth and the direction of prospective planning using information values CE Sezener, A Dezfouli, M Keramati PLoS computational biology 15 (3), e1006827, 2019 | 28 | 2019 |
| Learning the structure of the world: The adaptive nature of state-space and action representations in multi-stage decision-making A Dezfouli, BW Balleine PLoS computational biology 15 (9), e1007334, 2019 | 23 | 2019 |
Bernard BalleineUNSW Sydney在 unsw.edu.au 的电子邮件经过验证
