Computational optimization of associative learning experiments

Filip Melinscak; Dominik R. Bach

doi:10.1371/journal.pcbi.1007593

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Open Access

Peer-reviewed

Research Article

Computational optimization of associative learning experiments

Filip Melinscak ,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: filip.melinscak@uzh.ch

Affiliations Computational Psychiatry Research, Department of Psychiatry, Psychotherapy, and Psychosomatics, University of Zurich, Zurich, Switzerland, Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland

http://orcid.org/0000-0001-8767-358X

⨯
Dominik R. Bach

Roles Conceptualization, Funding acquisition, Methodology, Resources, Supervision, Writing – review & editing

Affiliations Computational Psychiatry Research, Department of Psychiatry, Psychotherapy, and Psychosomatics, University of Zurich, Zurich, Switzerland, Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland, Wellcome Centre for Human Neuroimaging and Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, United Kingdom

http://orcid.org/0000-0003-3717-2036

⨯

Computational optimization of associative learning experiments

Filip Melinscak,
Dominik R. Bach

Published: January 6, 2020
https://doi.org/10.1371/journal.pcbi.1007593

About the Authors

Filip Melinscak

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: filip.melinscak@uzh.ch

http://orcid.org/0000-0001-8767-358X

Dominik R. Bach

Roles Conceptualization, Funding acquisition, Methodology, Resources, Supervision, Writing – review & editing

Affiliations Computational Psychiatry Research, Department of Psychiatry, Psychotherapy, and Psychosomatics, University of Zurich, Zurich, Switzerland, Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland, Wellcome Centre for Human Neuroimaging and Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, United Kingdom

http://orcid.org/0000-0003-3717-2036

Competing Interests

The authors have declared that no competing interests exist.

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Experimental design
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Optimization
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Learning
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Experimental economics
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Classical conditioning
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Markov models
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Simulation and modeling
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