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. 2021 Nov 12;12:6567. doi: 10.1038/s41467-021-26784-w

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© The Author(s) 2021

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. 3 — a–c Plotted are ERDS and ERDS decompositions for rewarded and unrewarded trials (ERDS+ and ERDS−) as a function of p(win), p(lose), win-stay, and lose-switch. Darker colors correspond to larger values of metrics. For the plot in (a), p(win) is set to 0.5. Observed entropy-based metrics and constituent probabilities for each block for mice (orange dots) and monkeys (green dots) are superimposed on surfaces. d–f EODS and EODS decompositions for the better and worse options (EODS_B and EODS_W) as a function of the probabilities of choosing the better and worse options, p(better) and p(worse), conditional probability of stay on the better option, and conditional probability of switch from the worse option. For the plot in (d), p(better) is set to 0.5. For all plots, the units of entropy-based metrics are bits. g–i Same as in (a–c) but using heatmap. j–l Same as in (d–f) but using heatmap.