Publisher Correction: The representational instability in the generalization of fear learning

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Bibliographic Details
Main Authors: Kenny Yu, Wolf Vanpaemel, Francis Tuerlinckx, Jonas Zaman
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:npj Science of Learning
Online Access:https://doi.org/10.1038/s41539-025-00295-5
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author Kenny Yu
Wolf Vanpaemel
Francis Tuerlinckx
Jonas Zaman
author_facet Kenny Yu
Wolf Vanpaemel
Francis Tuerlinckx
Jonas Zaman
author_sort Kenny Yu
collection DOAJ
format Article
id doaj-art-6018a8d412414c16a67835aa6460352e
institution Kabale University
issn 2056-7936
language English
publishDate 2025-01-01
publisher Nature Portfolio
record_format Article
series npj Science of Learning
spelling doaj-art-6018a8d412414c16a67835aa6460352e2025-01-19T12:10:59ZengNature Portfolionpj Science of Learning2056-79362025-01-011011110.1038/s41539-025-00295-5Publisher Correction: The representational instability in the generalization of fear learningKenny Yu0Wolf Vanpaemel1Francis Tuerlinckx2Jonas Zaman3KU LeuvenKU LeuvenKU LeuvenKU Leuvenhttps://doi.org/10.1038/s41539-025-00295-5
spellingShingle Kenny Yu
Wolf Vanpaemel
Francis Tuerlinckx
Jonas Zaman
Publisher Correction: The representational instability in the generalization of fear learning
npj Science of Learning
title Publisher Correction: The representational instability in the generalization of fear learning
title_full Publisher Correction: The representational instability in the generalization of fear learning
title_fullStr Publisher Correction: The representational instability in the generalization of fear learning
title_full_unstemmed Publisher Correction: The representational instability in the generalization of fear learning
title_short Publisher Correction: The representational instability in the generalization of fear learning
title_sort publisher correction the representational instability in the generalization of fear learning
url https://doi.org/10.1038/s41539-025-00295-5
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AT jonaszaman publishercorrectiontherepresentationalinstabilityinthegeneralizationoffearlearning