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. 2020 Apr 14;10:6302. doi: 10.1038/s41598-020-62940-w

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© The Author(s) 2020

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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Individual learning curves for the different training stages. S1 to S5: session 1 to 5 (32 trials per session). : Recurrent faces (the same four different faces were always used). : Novel objects (different for each trial). : Novel faces (different for each trial). The statistical values indicated correspond to comparisons of the percentage of correct responses between sessions, when carried out by all the subjects (N = 11): Friedman test for the pre-training or Wilcoxon tests for the other stages of training. **P < 0.01; *P < 0.05.

Inline graphic — Individual learning curves for the different training stages. S1 to S5: session 1 to 5 (32 trials per session). : Recurrent faces (the same four different faces were always used). : Novel objects (different for each trial). : Novel faces (different for each trial). The statistical values indicated correspond to comparisons of the percentage of correct responses between sessions, when carried out by all the subjects (N = 11): Friedman test for the pre-training or Wilcoxon tests for the other stages of training. **P < 0.01; *P < 0.05.