A model for learning based on the joint estimation of stochasticity and volatility.
Linear reinforcement learning in planning, grid fields, and cognitive control.
Piray P and Daw ND, Nature Communications, 2021 [code/data]
A simple model for learning in volatile environments.
Piray P and Daw ND, PLoS Computational Biology, 2020 [code/data]
Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies.
Piray P, Dezfouli A, Heskes T, Frank MJ, Daw ND, PLoS Computational Biology, 2019 [code/data]
Emotionally aversive cues suppress neural systems underlying optimal learning in socially anxious individuals.
Piray P, Ly V, Roelofs K, Cools R*, Toni I*, Journal of Neuroscience, 2019 [code/data]
Dopaminergic modulation of the functional ventrodorsal architecture of the human striatum.
Piray P, den Ouden H, van der Schaaf M, Toni I, Cools R, Cerebral Cortex, 2017 [data]
Mechanisms underlying dopamine-induced risky choice in Parkinson’s disease with and without depression (history).
Timmer MHM, Sescousse G, Esselink RAJ, Piray P, Cools R, Computational Psychiatry, 2017
Human choice strategy varies with anatomical projections from ventromedial prefrontal cortex to medial striatum.
Piray P, Toni I, Cools R, Journal of Neuroscience, 2016
Impulse control disorders in Parkinson’s disease are associated with dysfunction in stimulus valuation but not action valuation.
Piray P, Zeighami Y, Bahrami F, Eissa AM, Hewedi DH, Moustafa AA, Journal of Neuroscience, 2014
Neuroeconomics and the study of addiction.
Monterosso J, Piray P, Luo S, Biological Psychiatry, 2012
Understanding addiction as a pathological state of multiple decision making processes: a neurocomputational perspective.
Keramati MM, Dezfouli A, Piray P, in Computational Neuroscience of Drug Addiction, Eds. Gutkin B., Ahmed S., Springer, 2012
The role of dorsal striatal D2-like receptors in reversal learning: a reinforcement learning viewpoint.
Piray P, Journal of Neuroscience, 2011
Speed/accuracy trade-off between the habitual and the goal-directed processes.
Keramati MM*, Dezfouli A*, Piray P, PLoS Computational Biology, 2011
Individual differences in nucleus accumbens dopamine receptors predict development of addiction-like behavior: a computational approach.
Piray P, Keramati MM*, Dezfouli A*, Lucas C, Mokri A, Neural Computation, 2010
A neurocomputational model for cocaine addiction.
Dezfouli A, Piray P, Keramati MM, Ekhtiari H, Lucas C, Mokri A, Neural Computation, 2009