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. 2018 Oct 12;12:671. doi: 10.3389/fnins.2018.00671

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Copyright © 2018 Steadman and Sumner.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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The effect of smoothing on the discriminability of population representations of VCVs using token (A) and phoneme (B) classifier modes. Also shown is the same analysis for hierarchical classifier mode (dashed line, A). The dashed line in B is data from the token classifier using neuronal subpopulations from each brain region. The sizes of these subpopulations are indicated in the figure legend and were chosen such that the maximum token classifier performance was matched to that of the phoneme classifier.