Amir Dezfouli

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Bernard BalleineUNSW SydneyAdresse e-mail validée de unsw.edu.au
Edwin V. BonillaPrincipal Research Scientist, CSIRO's Data61Adresse e-mail validée de data61.csiro.au
Payam PirayAssistant Professor of Psychology and Neuroscience at USCAdresse e-mail validée de usc.edu
Kristi R. GriffithsSenior Research Fellow, InsideOut InstituteAdresse e-mail validée de sydney.edu.au
Richard NockGoogle ResearchAdresse e-mail validée de uniagro.fr
Nura LingawiResearch associate, UNSW SydneyAdresse e-mail validée de unsw.edu.au
Richard W MorrisTranslational datascientist, University of SydneyAdresse e-mail validée de sydney.edu.au
iadine ChadèsProfessor Monash UniversityAdresse e-mail validée de monash.edu
Hamed Ekhtiari, MD, PhD,Laureate Institute for Brain ResearchAdresse e-mail validée de laureateinstitute.org
Fabio RamosUniversity of Sydney and NVIDIAAdresse e-mail validée de sydney.edu.au
Christian WalderGoogle DeepMindAdresse e-mail validée de google.com
Michael NorrishAustralian National UniversityAdresse e-mail validée de anu.edu.au
Tom BlauResearch Scientist, CSIROAdresse e-mail validée de sydney.edu.au
Mieke van HolsteinPostdoctoral research fellowAdresse e-mail validée de ubc.ca
Laura BradfieldCentre for Neuroscience and Regenerative Medicine, University of Technology, SydneyAdresse e-mail validée de uts.edu.au
Tom HeskesProfessor of Computer Science and Artificial Intelligence, Radboud University NijmegenAdresse e-mail validée de science.ru.nl
Nathaniel D. DawHuo Professor of Computational and Theoretical Neuroscience, Princeton UniversityAdresse e-mail validée de princeton.edu
Michael J FrankProfessor, Director Center for Computational Brain Science, Brown UniversityAdresse e-mail validée de brown.edu
Minchao WuAustralian National UniversityAdresse e-mail validée de anu.edu.au
Karl KrauthPostdoc, StanfordAdresse e-mail validée de stanford.edu

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Amir Dezfouli

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Computational neuroscience Machine Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	494	2011
Habits, action sequences and reinforcement learning A Dezfouli, BW Balleine European Journal of Neuroscience 35 (7), 1036-1051, 2012	429	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	318	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	213	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	182	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	121	2019
Hierarchical action control: Adaptive collaboration between actions and habits. BW Balleine, A Dezfouli Frontiers in Psychology 10, 2735, 2019	88	2019
Scalable Inference for Gaussian Process Models with Black-Box Likelihoods A Dezfouli, E Bonilla Advances in Neural Information Processing Systems (NIPS), 2015	68	2015
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	67	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	64	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	64	2014
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	64	2009
Adversarial vulnerabilities of human decision-making A Dezfouli, R Nock, P Dayan Proceedings of the National Academy of Sciences 117 (46), 29221-29228, 2020	58	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	56	2022
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	48	2010
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	46	2021
Disentangled behavioural representations A Dezfouli, H Ashtiani, O Ghattas, R Nock, P Dayan, CS Ong Advances in neural information processing systems 32, 2019	38	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	34	2019
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	32	2016
Transformed distribution matching for missing value imputation H Zhao, K Sun, A Dezfouli, EV Bonilla International Conference on Machine Learning, 42159-42186, 2023	31	2023

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