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Payam Piray
Payam Piray
Assistant Professor of Psychology and Neuroscience at USC
Verified email at usc.edu - Homepage
Title
Cited by
Cited by
Year
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
4422011
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
872019
Impulse control disorders in Parkinson's disease are associated with dysfunction in stimulus valuation but not action valuation
P Piray, Y Zeighami, F Bahrami, AM Eissa, DH Hewedi, AA Moustafa
Journal of Neuroscience 34 (23), 7814-7824, 2014
862014
Neuroeconomics and the study of addiction
J Monterosso, P Piray, S Luo
Biological psychiatry 72 (2), 107-112, 2012
802012
A model for learning based on the joint estimation of stochasticity and volatility
P Piray, ND Daw
Nature communications 12 (1), 6587, 2021
682021
A simple model for learning in volatile environments
P Piray, ND Daw
PLoS computational biology, 2020
602020
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
572009
Dopaminergic modulation of the functional ventrodorsal architecture of the human striatum
P Piray, HEM den Ouden, ME van der Schaaf, I Toni, R Cools
Cerebral Cortex 27 (1), 485-495, 2017
562017
Linear reinforcement learning in planning, grid fields, and cognitive control
P Piray, ND Daw
Nature communications 12 (1), 4942, 2021
482021
Emotionally aversive cues suppress neural systems underlying optimal learning in socially anxious individuals
P Piray, V Ly, K Roelofs, R Cools, I Toni
Journal of neuroscience 39 (8), 1445-1456, 2019
462019
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
452010
Human choice strategy varies with anatomical projections from ventromedial prefrontal cortex to medial striatum
P Piray, I Toni, R Cools
Journal of Neuroscience 36 (10), 2857-2867, 2016
402016
Linear reinforcement learning: Flexible reuse of computation in planning, grid fields, and cognitive control
P Piray, ND Daw
bioRxiv, 856849, 2020
25*2020
Mechanisms underlying dopamine-induced risky choice in Parkinson’s disease with and without depression (history)
MHM Timmer, G Sescousse, RAJ Esselink, P Piray, R Cools
Computational Psychiatry 2, 11-27, 2018
232018
The role of dorsal striatal D2-like receptors in reversal learning: a reinforcement learning viewpoint
P Piray
Journal of Neuroscience 31 (40), 14049-14050, 2011
162011
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
52012
Goal-directed and habitual decision making under stress in Gambling Disorder: an fMRI study
T van Timmeren, P Piray, AE Goudriaan, RJ van Holst
Addictive Behaviors 140, 107628, 2023
22023
Computational processes of simultaneous learning of stochasticity and volatility in humans
P Piray, N Daw
PsyArXiv, 2023
12023
Human hippocampus and dorsomedial prefrontal cortex infer and update latent causes during social interaction
A Mahmoodi, S Luo, C Harbison, P Piray, M Rushworth
bioRxiv, 2023.09. 21.558855, 2023
2023
Social framing effects in decision making
P Piray, R Cools, I Toni
bioRxiv, 2021.09. 28.462257, 2021
2021
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