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. 2023 Apr 12;617(7959):125–131. doi: 10.1038/s41586-023-05928-6

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© The Author(s) 2023

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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

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Extended Data Fig. 1 — a, Example displacement of a reference forelimb and detected plant times (dashed vertical lines) highlighting one complete gait cycle as a rat ran on a transparent track. b, Bottom view (track) and a 45-degree mirror view (mirror) are marked to highlight the two views used for manually detecting ‘fingersplay’ and ‘touchdown’ times (see Methods). c, Histogram of plant-fingersplay and plant-touchdown offsets shows close correspondence of these two (plant – handsplay median offset/IQR=0.008s, 0.016s, n = 114 plants; plant – touchdown median offset/IQR=0.008s, 0.008s, number of plants = 66). We note here that the human estimates involve somewhat subjective judgements and are not obviously more accurate than those of the algorithm. d, Screenshots of three frames on either side of the algorithm detected plant times (highlighted in green box) show the limb placement before and after the plant time.