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. 2017 Jun 15;7:3596. doi: 10.1038/s41598-017-03974-5

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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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Results from analysis of V1 control region. (a) MVPA correlations matrix. (b) Discrimination of scene clusters by contrasting within over between cluster correlation values; error bars represent 95% confidence intervals. Also shown are the results of representational similarity analyses between the off-diagonal elements of the MVPA and: (c) GIST, (d) semantic, and (e) perceptual models; shaded regions indicate 95% confidence intervals. (***p < 0.001, **p < 0.01, *p < 0.05).