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. 2022 Sep 15;12:15504. doi: 10.1038/s41598-022-19771-8

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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The sorting performance of 6 spike sorting algorithms concerning waveform similarity using the testing set C1_020, C2_020, C3_020 and C4_020. (a) Comparing the similarity of waveform templates in four testing sets. Left: bar graph of the correlation coefficient (CC) of the three waveform templates for four datasets. Black, gray and white respectively represent CC of template 1 and template 2, CC of template 1 and template 3, and CC of template 2 and template 3. Right: Waveform templates of each testing set. Red, blue and green represent template 1, template 2 and template 3, respectively. (b) Bar graph of sorting accuracy of 6 spike sorting algorithms on the testing set C1_020, C2_020, C3_020 and C4_020. Error bars represent s.e.m. (c) Bar graph of DBI of 6 spike sorting algorithms on the testing set C1_020, C2_020, C3_020 and C4_020. Error bars represent s.e.m.