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. 2017 Nov 8;7:15037. doi: 10.1038/s41598-017-15373-x

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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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Results for the session adopting the 120 Hz stimulus rate. (a) Scalp plot indicating how many times each channel was selected by the greedy channel-selection algorithm across subjects. Note that most of the frontal and temporal area was not recorded during the experiment. (b) Summary of the total number of channels selected by the greedy channel-selection algorithm before convergence. (c) Target identification accuracy for both classifiers with an increasing number of repetitions of the stimulation m-sequence (1 sequence = 0.525 sec), with and without the exclusion of the initial 150 ms of each epoch. Black horizontal lines indicate significant differences between the classifiers. Blue and red horizontal lines indicate significant differences when excluding the first 150 ms. (d) Regression analysis of the increase in target identification accuracy based on one repetition of the m-sequence when excluding the first 150 ms. (e) Time needed to train the classifiers on all data of each subject. (f) Virtual ITR achieved when factoring in 0.5 seconds for gaze shifting.