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. 2018 Mar 26;9:1227. doi: 10.1038/s41467-018-03657-3

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© The Author(s) 2018

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. 2 — Group-level results of Experiment 1 and Experiment 2. a Real-time sampling behavior of neuroadaptive Bayesian optimization and b group-level predictions across task space identify the Tower of London and Deductive Reasoning tasks to be optimal for dissociating the dFPN from the vFPN. c Real-time sampling behavior of optimization algorithm and d group-level predictions (observations colored by subject) show difficulty levels 13–15 to be optimal for the Deductive Reasoning task. e Real-time sampling behavior of optimization algorithm for the Tower of London task suggests 6–7 steps to be optimal