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Payam Piray
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2020 – today
- 2024
- [c1]Alireza Salkhordeh Ziabari, Ali Omrani, Parsa Hejabi, Preni Golazizian, Brendan Kennedy, Payam Piray, Morteza Dehghani:
Reinforced Multiple Instance Selection for Speaker Attribute Prediction. NAACL-HLT 2024: 3307-3321 - 2020
- [j5]Payam Piray, Nathaniel D. Daw:
A simple model for learning in volatile environments. PLoS Comput. Biol. 16(7) (2020)
2010 – 2019
- 2019
- [j4]Payam Piray, Amir Dezfouli, Tom Heskes, Michael J. Frank, Nathaniel D. Daw:
Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies. PLoS Comput. Biol. 15(6) (2019) - 2011
- [j3]Mohammad Mehdi Keramati, Amir Dezfouli, Payam Piray:
Speed/Accuracy Trade-Off between the Habitual and the Goal-Directed Processes. PLoS Comput. Biol. 7(5) (2011) - 2010
- [j2]Payam Piray, Mohammad Mahdi Keramati, Amir Dezfouli, Caro Lucas, Azarakhsh Mokri:
Individual Differences in Nucleus Accumbens Dopamine Receptors Predict Development of Addiction-Like Behavior: A Computational Approach. Neural Comput. 22(9): 2334-2368 (2010)
2000 – 2009
- 2009
- [j1]Amir Dezfouli, Payam Piray, Mohammad Mahdi Keramati, Hamed Ekhtiari, Caro Lucas, Azarakhsh Mokri:
A Neurocomputational Model for Cocaine Addiction. Neural Comput. 21(10): 2869-2893 (2009)
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last updated on 2024-09-02 01:02 CEST by the dblp team
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