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. 2020 Jun 26;11:3247. doi: 10.1038/s41467-020-17000-2

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© The Author(s) 2020

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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Fig. 6 — The analysis described in Fig. 2 was repeated, this time separating periods when participants navigated and when they stood still. a Model selection. We plot the difference in model performance (Z score) between locomotion and stationary periods across tuning widths (grayscale dots represent tuning width: narrow:dark, wide:light, also see Fig. 5). Positive values indicate that voxel time courses in an ROI could be better predicted when participants locomoted. Negative values indicate the opposite, with better model performance during stationary periods. Triangles mark the kernel width, leading to the strongest difference between models. b Model comparison. We plot the difference in model performance indicated in (a) as single-participant data and group-level whisker–boxplots (center, median; box, 25th to 75th percentiles; whiskers, 1.5× interquartile range, n = 20 participants). EVC and RSC tended to be better predicted during locomotion; PHG and HPC could be better predicted during stationary periods. These results suggest that the tuning in visual and mnemonic regions depends on the locomotory state. Two-sided permutation-based t-test results were added: **P < 0.05, FDR-corrected, *P < 0.05, uncorrected. Source data are provided as a Source Data file.