Revealing Neurocomputational Mechanisms of Reinforcement Learning and Decision-Making With the hBayesDM Package
Reinforcement learning and decision-making (RLDM) provide a quantitative framework and computational theories with which we can disentangle psychiatric conditions into the basic dimensions of neurocognitive functioning. RLDM offer a novel approach to assessing and potentially diagnosing psychiatric...
Main Authors: | Woo-Young Ahn, Nathaniel Haines, Lei Zhang |
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Format: | Article |
Language: | English |
Published: |
Ubiquity Press
2017-10-01
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Series: | Computational Psychiatry |
Subjects: | |
Online Access: | https://cpsyjournal.org/articles/28 |
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