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Bayesian Workflow for Generative Modeling in Computational Psychiatry Cover

Bayesian Workflow for Generative Modeling in Computational Psychiatry

Computational Psychiatry
Volume 9 (2025): Issue 1
By: Alexander J. Hess,  Sandra Iglesias,  Laura Köchli,  Stephanie Marino,  Matthias Müller-Schrader,  Lionel Rigoux,  Christoph Mathys,  Olivia K. Harrison,  Jakob Heinzle,  Stefan Frässle and  Klaas Enno Stephan  
Open Access
|Mar 2025

Authors

Alexander J. Hess

hess@biomed.ee.ethz.ch

Translational Neuromodeling Unit, Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich

Sandra Iglesias

iglesias@biomed.ee.ethz.ch

Translational Neuromodeling Unit, Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich

Laura Köchli

koechli@biomed.ee.ethz.ch

Translational Neuromodeling Unit, Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich

Stephanie Marino

marino@biomed.ee.ethz.ch

Translational Neuromodeling Unit, Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich

Matthias Müller-Schrader

mueller-schrader@biomed.ee.ethz.ch

Translational Neuromodeling Unit, Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich

Lionel Rigoux

lionel.rigoux@sf.mpg.de

Max Planck Institute for Metabolism Research, Cologne

Christoph Mathys

chmathys@cas.au.dk

Interacting Minds Centre, Aarhus University, Aarhus

Olivia K. Harrison

olivia.harrison@otago.ac.nz

Translational Neuromodeling Unit, Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, CH; Department of Psychology, University of Otago, Dunedin

Jakob Heinzle

heinzle@biomed.ee.ethz.ch

Translational Neuromodeling Unit, Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich

Stefan Frässle

stefanf@biomed.ee.ethz.ch

Translational Neuromodeling Unit, Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich

Klaas Enno Stephan

stephan@biomed.ee.ethz.ch

Translational Neuromodeling Unit, Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, CH; Max Planck Institute for Metabolism Research, Cologne
DOI: https://doi.org/10.5334/cpsy.116 | Journal eISSN: 2379-6227
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Language: English
Submitted on: Feb 26, 2024
Accepted on: Mar 12, 2025
Published on: Mar 25, 2025
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Translational Neuromodeling,
Computational Psychiatry,
Bayesian Workflow,
Hierarchical Gaussian Filter (HGF),
multimodal response models,
robust inference

© 2025 Alexander J. Hess, Sandra Iglesias, Laura Köchli, Stephanie Marino, Matthias Müller-Schrader, Lionel Rigoux, Christoph Mathys, Olivia K. Harrison, Jakob Heinzle, Stefan Frässle, Klaas Enno Stephan, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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