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. 2024 Oct 30;15:9383. doi: 10.1038/s41467-024-53147-y

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© The Author(s) 2024

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, 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 licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

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Fig. 5 — A Brain predictivity is plotted for all models in this survey (N = 224), sorted by veRSA score. Each point is the score from the most brain-predictive layer (selected by cross-validation) of a single model, plotted for both cRSA (open) and veRSA (filled) metrics. Models trained on different image sets are labeled in color. B Brain predictivity is plotted as a function of the effective dimensionality of the most predictive layer, with veRSA scores in the top panel and cRSA scores in the bottom panel. The regression (± 95% CIs) line is fit only on trained variants of the models (excluding untrained variants). C Brain predictivity is plotted as a function of the top-1 ImageNet1K-categorization accuracy for the models (N = 108) whose metadata includes this measure (veRSA, top panel; cRSA bottom panel). The noise ceiling of the OTC brain data is shown as the gray horizontal bar at the top of each plot. Source data are provided as a Source Data file.