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. 2017 Dec 15;7:17676. doi: 10.1038/s41598-017-17687-2

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© The Author(s) 2017

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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Representative policy estimation and corresponding entropy. (a) Policy estimation. The policy with the highest probability estimate in each trial was regarded as a currently used policy. (b) Current policy within each trial (orange squares, grey dot: time-points that policy transition occurred) and policy entropy values (black line). Difference in entropy values between policy transition time-points and all the other trials (inset, paired t-test, p < 0.01, mean ± SEM). (c) Transition time-point with regard to entropy and trial order. (Blue dot: each transition time-points for all participants, red line: linear regression result.) Transition time-points were significantly related to earlier trials and higher entropy (R² = 0.264, p = 3.01 × 10⁻⁷).