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. 2015 Feb 6;6:71. doi: 10.3389/fpsyg.2015.00071

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Copyright © 2015 Correia, Jansma, Hausfeld, Kikkert and Bonte.

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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Illustration of the feature selection approaches. (A) The original epoched EEG response per word corresponds to the signal of all EEG channels and the interval from 0 to 1000 ms after word onset. (B) Temporal-windows approach. Classification relies on temporal windows of 40 ms (10 time-points) and all channels, resulting in classification accuracies over time. (C) Time-frequency approach. Thirty leave-band-out filtered versions of the signal are created (from 2 to 60 Hz, band-width = 4 Hz) following classification based on the same procedure employed in the temporal-windows approach.