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. 2020 Oct 27;11:5418. doi: 10.1038/s41467-020-18946-z

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© The Author(s) 2020

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 5 — Negative log-likelihood and AIC results for all categorization models using all five stimulus representations (lower scores mean better performance). Within each representation, models are colored and clustered by class (prototype, exemplar). Baseline model performances are shown using a black bar for relevant feature spaces (AlexNet and DenseNet). Source data are provided as a Source Data file.