Revealing Neurocomputational Mechanisms of Reinforcement Learning and Decision-Making With the hBayesDM Package

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...

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Bibliographic Details
Main Authors: Woo-Young Ahn, Nathaniel Haines, Lei Zhang
Format: Article
Language:English
Published: Ubiquity Press 2017-10-01
Series:Computational Psychiatry
Subjects:
reinforcement learning
decision-making
hierarchical bayesian modeling
model-based fmri
Online Access:https://cpsyjournal.org/articles/28

Internet

https://cpsyjournal.org/articles/28

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