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. 2021 Jul 13;11:14360. doi: 10.1038/s41598-021-93721-8

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© The Author(s) 2021

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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Activity of DGC ensembles represents auditory decisions. (a) Left, decoder performance in each frame after cue onset in each learning RS showing the maximum frame number per trial for each rat (gray line indicates the shuffled data in RS I). Right, quantification of frames needed to reach 80% decoder performance after cue onset (n = 5, Wilcoxon signed-rank test, mean ± SEM, *P < 0.05). (b) Trajectory with decoder location in each RS (blue: rat’s location across the entire session, red: rat’s location at the frame with 80% decoder performance). (d,e) Place-coding and non-place-coding decoder performance. (e) Quantification of frames needed to reach 80% decoder performance after cue onset using only place-coding (P) or non-place-coding (NP) cells (n = 5 rats, mean ± SEM, Wilcoxon signed-rank test, n.s., P > 0.05).