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. 2024 Sep 28;7:1210. doi: 10.1038/s42003-024-06859-2

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© The Author(s) 2024

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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 5 — a Win-rate distribution across all subjects and channels. Irrespective of the criterion used, switched-linear models were observed to outperform linear models for more than 90% of the channels. The preference for modeling the causal effects of stimulation and network interactions seemed to vary greatly among channels. b A zoomed-in version of the plot in (a) shows the subject-wise distributions of the model win rate.