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. 2017 May 26;7:2444. doi: 10.1038/s41598-017-02569-4

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© The Author(s) 2017

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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(A) Correlations between the similarity matrices shown in Fig. 4A. (B) Matrix predictions based on representations of image type and region. (C) Models were used in a regression analysis across participants. Performance was determined by the regression coefficients for each model. The results show that patterns of response were predicted significantly more by the image type than region. Error bars show ±1 SEM. *p < 0.05.