Amir Dezfouli

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Bernard BalleineUNSW SydneyVerified email at unsw.edu.au
Edwin V. BonillaPrincipal Research Scientist, CSIRO's Data61Verified email at data61.csiro.au
Payam PirayAssistant Professor of Psychology and Neuroscience at USCVerified email at usc.edu
Kristi R. GriffithsSenior Research Fellow, InsideOut InstituteVerified email at sydney.edu.au
Richard NockGoogle ResearchVerified email at uniagro.fr
Nura LingawiResearch associate, UNSW SydneyVerified email at unsw.edu.au
Richard W MorrisTranslational datascientist, University of SydneyVerified email at sydney.edu.au
iadine ChadèsProfessor Monash UniversityVerified email at monash.edu
Hamed Ekhtiari, MD, PhD,Laureate Institute for Brain ResearchVerified email at laureateinstitute.org
Fabio RamosUniversity of Sydney and NVIDIAVerified email at sydney.edu.au
Christian WalderGoogle DeepMindVerified email at google.com
Michael NorrishAustralian National UniversityVerified email at anu.edu.au
Tom BlauResearch Scientist, CSIROVerified email at sydney.edu.au
Mieke van HolsteinPostdoctoral research fellowVerified email at ubc.ca
Laura BradfieldCentre for Neuroscience and Regenerative Medicine, University of Technology, SydneyVerified email at uts.edu.au
Tom HeskesProfessor of Computer Science and Artificial Intelligence, Radboud University NijmegenVerified email at science.ru.nl
Nathaniel D. DawHuo Professor of Computational and Theoretical Neuroscience, Princeton UniversityVerified email at princeton.edu
Michael J FrankProfessor, Director Center for Computational Brain Science, Brown UniversityVerified email at brown.edu
Minchao WuAustralian National UniversityVerified email at anu.edu.au
Karl KrauthPostdoc, StanfordVerified email at stanford.edu

Amir Dezfouli

BIMLOGIQ

Verified email at bimlogiq.com - Homepage

Computational neuroscience Machine Learning


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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	493	2011
Habits, action sequences and reinforcement learning A Dezfouli, BW Balleine European Journal of Neuroscience 35 (7), 1036-1051, 2012	419	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	315	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	214	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	181	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	118	2019
Hierarchical action control: Adaptive collaboration between actions and habits. BW Balleine, A Dezfouli Frontiers in Psychology 10, 2735, 2019	86	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	57	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	54	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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