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. 2018 Apr 5;12:221. doi: 10.3389/fnins.2018.00221

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Copyright © 2018 Ibayashi, Kunii, Matsuo, Ishishita, Shimada, Kawai and Saito.

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 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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Sorted Single Units for all subjects. The spike waveforms underwent offline spike sorting by the Standard Expectation Maximization method, which is a semi-automatic spike-sorting algorithm offered by the Offline Sorter®. Features used for spike sorting were waveform projection onto the first and second principal component. The total number of recorded units were 41 units (S1L: 8 units, S2R:6 units, S3L:4 units, S3R:7 units, S4R: 5 units, S5L:4 units, S6L:2 units, S6R:5 units).