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. 2018 Aug 6;12:530. doi: 10.3389/fnins.2018.00530

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Copyright © 2018 Jas, Larson, Engemann, Leppäkangas, Taulu, Hämäläinen and Gramfort.

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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Sensor space statistics. (A) A single sensor (EEG065) with temporal clustering statistics. The clustering is based on selecting consecutive time samples that have exceeded the initial paired t-test threshold (0.001), and finding clusters that exceed the mass expected by chance according to exchangability under the null hypothesis (p < 0.01, shaded areas). (B) Cross-validation score of time-by-time decoding. As opposed to a cluster statistic, time decoding is a multivariate method which pools together the signal from different sensors to find discriminative time points between two conditions.