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. 2019 Nov 1;13:1148. doi: 10.3389/fnins.2019.01148

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Copyright © 2019 Kim, Yoshimura and Koike.

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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Individual classification accuracies for x and y positions according to the number of features. Each dot represents accuracy for each binary classification. The binary classifications were performed 10 times (5 choose 2) per participant when the feature for all classifications had at least 1. Blue markers represent the results when shuffled labels were used. Red markers represent the results when real labels were used. The accuracy for the horizontal (x) position is represented using circles, while that for the vertical (y) position is represented using crosses. Performance of the real and shuffled labels did not depend on the number of features. Accuracy was better than chance level in participant 8 only. For other participants, accuracy was similar to that of chance level.