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. 2017 Nov 28;7:16471. doi: 10.1038/s41598-017-16739-x

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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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The effects of Consistency (consistent = con in blue vs. inconsistent = incon in red), Object type (global = G vs. local = L) and Room type (other vs. own) on RTs (left). Lower values indicate better location memory performance. The central mark is the median of each boxplot. The notches indicate 95% confidence intervals for the medians. The right graph displays partial effects (thus “adjusted”). RT on the y-axis against centered trial count as a function of Object type (global = G vs. local = L) and Consistency (consistent = con vs. inconsistent = incon). Shaded areas represent 95% confidence intervals.