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. 2023 Aug 28;26(9):1584–1594. doi: 10.1038/s41593-023-01413-5

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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. 8 — The recurrence analysis results of Fig. 5 are shown in more detail. The first row (a-c) shows the mean off-diagonal correlation: for (a) all activity, (b) shared activity, and (c) non-shared activity. The second row (d–f) shows the mean on-diagonal covariance μ_V. The third row (g–i) shows the standard deviation of the off-diagonal covariance σ_CC. The fourth row (j–l) shows the ratio of the standard deviation of the off-diagonal covariance and the mean on-diagonal covariance σ_CC/μ_V. The fifth row (m–o) shows the change in recurrence R. The sixth row (p–r) also shows the change in the recurrence R, but estimated from neural activity in S2 instead of in S1. P values tested for a difference in session-wise population metrics between hit and miss trials (two-sided Wilcoxon signed-rank test without correction multiple comparison).