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. 2015 Oct 20;9:269. doi: 10.3389/fnbeh.2015.00269

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Copyright © 2015 Ray, Sitaram, Rana, Pasqualotto, Buyukturkoglu, Guan, Ang, Tejos, Zamorano, Aboitiz, Birbaumer and Ruiz.

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) or licensor 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 most prominent Common Spatial Patterns (CSPs) extracted from the classification model and from a combination of subjects. Black dots mark EEG channels. The darker the gray value in the plot is, the more prominent is the ratio of variance in the respective channels. The topographic map on the left shows the pattern for the happy condition, whereas the pattern of the motor condition is shown on the right. (A) The CSPs extracted from the concatenated data of the 16 well-performing subjects were used to create the classification model. (B) Individual CSPs averaged over all the subjects with a mean classification accuracy of 75% or more. Black dots mark EEG channels.