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Decomposition of Reinforcement Learning Deficits in Disordered Gambling via Drift Diffusion Modeling and Functional Magnetic Resonance Imaging Cover

Decomposition of Reinforcement Learning Deficits in Disordered Gambling via Drift Diffusion Modeling and Functional Magnetic Resonance Imaging

Computational Psychiatry
Volume 8 (2024): Issue 1
By: Antonius Wiehler and  Jan Peters  
Open Access
|Mar 2024

Authors

Antonius Wiehler

antonius.wiehler@gmail.com

Department of Systems Neuroscience, University Medical Centre Hamburg-Eppendorf, Hamburg, DE; Institut du Cerveau et de la Moelle épinière (ICM), INSERM U 1127, CNRS UMR 7225, Sorbonne Universités Paris

Jan Peters

jan.peters@uni-koeln.de

Department of Systems Neuroscience, University Medical Centre Hamburg-Eppendorf, Hamburg; Department of Psychology, Biological Psychology, University of Cologne, Cologne
DOI: https://doi.org/10.5334/cpsy.104 | Journal eISSN: 2379-6227
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Language: English
Submitted on: Oct 7, 2023
Accepted on: Mar 7, 2024
Published on: Mar 20, 2024
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Gambling disorder,
problem gambling,
reinforcement learning,
drift diffusion model,
feedback-based learning

© 2024 Antonius Wiehler, Jan Peters, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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