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. 2023 Apr 24;26(5):765–773. doi: 10.1038/s41593-023-01308-5

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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 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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Extended Data Fig. 2 — a, ROIs coarsely grouped into anatomical regions using manually defined borders for optic tectum, anterior hindbrain and rhombomere 2. b, For every fish, principal components over time were computed over all neurons of each region, without any selection. Then, all ROIs were projected over the first two components. ROI are color coded by the maximum anticorrelation with any other cell in the dataset, the criterion that was used to define r1π neurons throughout the paper.