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. 2023 Jan 31;13:1742. doi: 10.1038/s41598-023-28134-w

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© The Author(s) 2023

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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Odor discrimination performance. (a) For each individual participant, we plotted the proportion of “B-like” responses as a function of odor mixture, ranging from 0% black pepper / 100% brown sugar to 100% black pepper / 0% brown sugar. We fit a logistic curve to each participant’s individual data, characterizing both the precision of odor discrimination (maximum slope of the curve) and the perceived midpoint of the stimulus range that was equally A-like and B-like (the point of subjective equality; PSE). Data plots from example subjects are shown for both the Unlabeled Odors and Labeled Odors conditions, and the curve fits from all participants are plotted together to show the variation in PSE. A 2-sample t-test found no difference in the precision of odor discrimination between groups (t(90) = 0.079, p = 0.938). (b) Group-level psychometric curve fits. After aligning participants’ data by PSE, we fit logistic curves to the aggregated group data for each condition. A permutation test found no difference between groups in the precision of odor discrimination, as given by the maximum slopes of the group-level curve fits (p = 0.981).