Impaired arbitration between reward-related decision-making strategies in Alcohol Users compared to Alcohol Non-Users: a computational modeling study
Abstract Reinforcement learning studies propose that decision-making is guided by a tradeoff between computationally cheaper model-free (habitual) control and costly model-based (goal-directed) control. Greater model-based control is typically used under highly rewarding conditions to minimize risk...
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Main Authors: | Srinivasan A. Ramakrishnan, Riaz B. Shaik, Tamizharasan Kanagamani, Gopi Neppala, Jeffrey Chen, Vincenzo G. Fiore, Christopher J. Hammond, Shankar Srinivasan, Iliyan Ivanov, V. Srinivasa Chakravarthy, Wouter Kool, Muhammad A. Parvaz |
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Format: | Article |
Language: | English |
Published: |
Springer
2025-01-01
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Series: | NPP-Digital Psychiatry and Neuroscience |
Online Access: | https://doi.org/10.1038/s44277-024-00023-8 |
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