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. 2022 Mar 30;13:1676. doi: 10.1038/s41467-022-29200-z

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© The Author(s) 2022

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. 1 — a Schematic of regions included in study. b Example non-monotonic, monotonically decreasing, and monotonically increasing tuning curves for running speed, top to bottom. Example cells are VISp layer 2/3. Error envelope represents standard error margin. c Overall fraction of neurons significantly tuned to running in each region and Cre-line, calculated during visual stimulus presentation. d Same as (c) except calculated in the absence of visual stimuli. e Fraction of cells displaying different tuning types to running speed across the visual regions we examined. f Average correlation coefficient between neural activity and running in each visual region, amongst neurons displaying significant (p < 0.05) monotonic tuning to running. Error bars are 95% confidence interval for the mean estimate calculated via 1000 bootstraps. g Visualization of spatial distribution of overall tuning to running in the visual regions. Cell numbers included in each analysis can be found in Supplementary Fig. 1. Source data are provided as a Source Data file.