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. 2019 Mar 27;9:5282. doi: 10.1038/s41598-019-41503-8

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© The Author(s) 2019

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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Unreliability in spiketrain transmission is a major but not unique source of temporal pattern separation. (a) Spiketrain reliability (R_W) is an excellent predictor of normalized decorrelation (defined in Fig. 2E) for all celltypes and conditions. Notice that, despite the strong anticorrelation, the intercept of the linear model at R_w = 1 predicts that even a perfect reliability could still allow 10% of decorrelation. See Table S3 for linear regressions on single celltypes. (b) To assess the amount of decorrelation not due to spiketrain unreliability, the ten children output spiketrains of each of the five trains of an input set can be averaged to give the five output peristimulus histograms (PSTH). The 10 ms binned PSTHs of the output rasters in Fig. 2a are shown. (c) Correlation coefficients between all pairs of the five output PSTHs. The mean correlation (PSTH R_output) is the average of coefficients inside the red border, and excludes self-comparisons. (d) Left: PSTH R_output as a function of R_input (102 recording sets, in red), fitted with a parabola (black). All points are below the identity line indicating decorrelation of outputs compared to inputs. Right: Average effective decorrelation (R_input − PSTH R_output) as a function of R_input (bars are SEM) reveals a significant decorrelation for all input sets except for the most dissimilar (one-sample T-tests; shaded area is the 95% confidence interval for significant decorrelation).