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. 2017 May 16;7:1962. doi: 10.1038/s41598-017-01990-z

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© The Author(s) 2017

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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Effect of 2D downscaling on false negative and positive results. Percentage of false (negative and positive) results comparing 2D views and 3D tracking in terms of average peak speed, average angular speed, average peak angular speed, average distance from the stimulus, and wall following. The percentage of false results was computed by dividing the number of false negative (resp. positive) results with the corresponding number of valid comparisons in the 3D data. In particular, if the number of significant differences in 3D were D_s and non-significant D_n, then the percentage of false negatives for a given view was computed as (number of false negatives)/D_s, and correspondingly the percentage of false positives was computed as (number of false positives)/D_n. Data from Fig. 3 were pooled to quantify the proportion of false results obtained from 2D top (red bar) and front (blue bar) views. False negative results are identified with dark red and blue, and false positive results are identified with light red and blue.