| 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 | 349 | 2011 |
| Habits, action sequences and reinforcement learning A Dezfouli, BW Balleine European Journal of Neuroscience 35 (7), 1036-1051, 2012 | 262 | 2012 |
| Actions, action sequences and habits: evidence that goal-directed and habitual action control are hierarchically organized A Dezfouli, BW Balleine PLoS Comput Biol 9 (12), e1003364, 2013 | 207 | 2013 |
| 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 | 131 | 2014 |
| 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 | 124 | 2015 |
| Scalable Inference for Gaussian Process Models with Black-Box Likelihoods A Dezfouli, E Bonilla Advances in Neural Information Processing Systems (NIPS), 2015 | 55 | 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 | 50 | 2009 |
| 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 | 37 | 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 | 37 | 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 | 35 | 2010 |
| 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 | 18 | 2019 |
| 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 | 15 | 2019 |
| Hierarchical action control: Adaptive collaboration between actions and habits. BW Balleine, A Dezfouli Frontiers in Psychology 10, 2735, 2019 | 13 | 2019 |
| Generic inference in latent Gaussian process models EV Bonilla, K Krauth, A Dezfouli arXiv preprint arXiv:1609.00577, 2016 | 13 | 2016 |
| Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models A Dezfouli, R Morris, F Ramos, P Dayan, BW Balleine bioRxiv, 328849, 2018 | 10 | 2018 |
| 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 | 8 | 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 | 8 | 2019 |
| Disentangled behavioural representations. A Dezfouli, H Ashtiani, O Ghattas, R Nock, P Dayan, CS Ong NeurIPS, 2251-2260, 2019 | 8 | 2019 |
| Gray-box inference for structured Gaussian process models P Galliani, A Dezfouli, E Bonilla, N Quadrianto Artificial Intelligence and Statistics, 353-361, 2017 | 5 | 2017 |
| Treatment outcome predictors in flexible dose-duration methadone detoxification program H Ekhtiari, A Dezfouli, B Zamanian, A Ghodousi, A Mokri Archives of Iranian medicine 16 (10), 0-0, 2013 | 5 | 2013 |
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