Amir Dezfouli
Amir Dezfouli
Data61, CSIRO
Verified email at - Homepage
Cited by
Cited by
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
Habits, action sequences and reinforcement learning
A Dezfouli, BW Balleine
European Journal of Neuroscience 35 (7), 1036-1051, 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), 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
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
Scalable Inference for Gaussian Process Models with Black-Box Likelihoods
A Dezfouli, E Bonilla
Advances in Neural Information Processing Systems (NIPS), 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
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
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
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
Generic inference in latent Gaussian process models
EV Bonilla, K Krauth, A Dezfouli
arXiv preprint arXiv:1609.00577, 2016
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), 2019
Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models
A Dezfouli, R Morris, FT Ramos, P Dayan, B Balleine
Advances in Neural Information Processing Systems, 4228-4237, 2018
Gray-box inference for structured Gaussian process models
P Galliani, A Dezfouli, EV Bonilla, N Quadrianto
arXiv preprint arXiv:1609.04289, 2016
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
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
The algorithmic neuroanatomy of action-outcome learning
RW Morris, A Dezfouli, KR Griffiths, ME Le Pelley, BW Balleine
BioRxiv, 137851, 2017
Understanding addiction as a pathological state of multiple decision making processes: a neurocomputational perspective
M Keramati, A Dezfouli, P Piray
Computational neuroscience of drug addiction, 205-233, 2012
On the Measurement of Reinforcing Efficacy of Methamphetamine Using Self-Administration Procedures: A Review & Future Directions
A Dezfouli, H Ekhtiari, A Mokri
Basic and clinical Neuroscience 1 (3), 62-67, 2010
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
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