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. 2017 May 15;7:1886. doi: 10.1038/s41598-017-01911-0

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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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Comparing reconstructed weights in Experiment 2 to actual patterns in Experiment 1. The pearson correlation across population-averaged electrodes between FEM (Forward Encoding Model) weights from experiment 2 and BDM (Backward Decoding Model) patterns from experiment 1, as well as the unpaired t-test difference between FEM and BDM. (A) FEM and BDM left-right patterns show a high correlation and no significant differences. (B) FEM and BDM top-bottom patterns show a high correlation and no significant differences. (C) To show that the absence of significant differences in (A) and (B) is not caused by a lack of power due to t-testing between rather than within subjects, we also compare left-right FEM weights to the top-bottom BDM weights. These do not correlate, while their difference shows two large significant clusters. Thick electrode dots belong to clusters that have p < 0.01 under cluster based permutation testing.