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. 2020 Feb 26;11:1057. doi: 10.1038/s41467-020-14824-w

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© The Author(s) 2020

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. 4 — Influence of past events on current choice when separately fitting the choices in trials after a correct (orange) or an error response (black). a GLM weights of previously rewarded (r⁺, left panel) and unrewarded (r⁻, right panel) responses. These kernels quantify the influence on choice of the side (left vs. right) of previous responses. b Weights of previous transitions (repetition vs. alternation) computed separately for T⁺⁺ (a rewarded trial followed by a rewarded trial), T⁻⁺ (error-rewarded), T⁺⁻ (rewarded-error), and T⁻⁻ (error-error). Strong positive weighting of T⁺⁺ transitions after-correct responses revealed that animals tended to reproduce previous repetitions and alternations between two consecutive rewarded trials. Points in a and b show median coefficients across animals (n = 10) and error bars indicate first and third quartiles. c Transition kernels for individual animals show the ubiquity across subjects of the reset of the kernel after errors. Some weights at trial lags 1 and 2 are not shown because of existing indeterminacies between regressors (see Supplementary Methods Section 2.3).