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. 2022 Apr 21;25(5):561–566. doi: 10.1038/s41593-022-01050-4

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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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Extended Data Fig. 2 — a. Example session mean image, image from the engaged trials, and image from the disengaged trials, and local correlation map between them. For each pixel x in the FOV, the local neighborhood used for correlation calculation is a square of 41 by 41 pixels with x in the center. Similar results were obtained from 32 sessions that met inclusion criteria and contained more than 10 engaged and disengaged trials. b. Correlation between the mean session FOV image and FOV images of the engaged and disengaged trials. Two-sided Wilcoxon signed rank test, p = 0.06. The mean correlation between FOVs in the engaged and disengaged trials is 0.992. n = 32 sessions, 8 mice. c. Mean noise in the engaged and disengaged trials. Noise was defined as the activity less than 2 standard deviations from the mean activity of each cell. Two-sided Wilcoxon signed rank test, p = 0.46. n = 32 sessions, 8 mice. d. Standard deviation of noise in the engaged and disengaged trials. Two-sided Wilcoxon signed rank test, p = 0.97. n = 32 sessions, 8 mice.