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Disentangling prediction error and value in a formal test of dopamine’s role in reinforcement learning

Usypchuk, Alexandra A., Maes, Etienne J.P., Lozzi, Megan, Avramidis, Dimitrios K., Schoenbaum, Geoffrey, Esber, Guillem R., Gardner, Matthew P.H., Iordanova, Mihaela D.·2025·Current Biology
DOI 10.1016/j.cub.2025.06.076

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Research works printed but not linked: 36

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Metadata

Authors
Usypchuk, A. A., Maes, E. J. P., Lozzi, M., Avramidis, D. K., Schoenbaum, G., Esber, G. R., Gardner, M. P. H., & Iordanova, M. D.
Venue
Current Biology
Publisher
Elsevier BV
Published
2025-08
Volume
35
Issue
16
Pages
4019-4027.e7
ISSN
0960-9822
DOI
10.1016/j.cub.2025.06.076
Cited by
4
References
8
Language
en
Licence
Funders
  • McGill University
  • U.S. Department of Health and Human Services
  • Natural Sciences and Engineering Research Council of Canada (RGPIN-2015-03658)
  • National Institutes of Health
  • Nature et technologies
  • Canada Research Chairs Program (950\u2013230456)

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CoChat. (2026). Citation check: Disentangling prediction error and value in a formal test of dopamine’s role in reinforcement learning. https://app.cochat.ai/papers/10.1016/j.cub.2025.06.076
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Usypchuk, A. A., Maes, E. J. P., Lozzi, M., Avramidis, D. K., Schoenbaum, G., Esber, G. R., Gardner, M. P. H., & Iordanova, M. D. (2025). Disentangling prediction error and value in a formal test of dopamine’s role in reinforcement learning. Current Biology. https://doi.org/10.1016/j.cub.2025.06.076

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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