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. 2022 Apr 25;19(5):628. doi: 10.1038/s41592-022-01495-2

Publisher Correction: SLEAP: A deep learning system for multi-animal pose tracking

Talmo D Pereira 1,8, Nathaniel Tabris 1, Arie Matsliah 1, David M Turner 1, Junyu Li 1, Shruthi Ravindranath 1, Eleni S Papadoyannis 1, Edna Normand 1,2, David S Deutsch 1, Z Yan Wang 3,4, Grace C McKenzie-Smith 5, Catalin C Mitelut 6, Marielisa Diez Castro 6, John D’Uva 1,2,9, Mikhail Kislin 1, Dan H Sanes 6,7, Sarah D Kocher 3,4, Samuel S-H Wang 1,2, Annegret L Falkner 1, Joshua W Shaevitz 1,4,5,#, Mala Murthy 1,✉,#
PMCID: PMC9119847  PMID: 35468969

Correction to: Nature Methods 10.1038/s41592-022-01426-1, published online 4 April 2022.

In the version of this article initially published, there were errors in the affiliations shown for John D’Uva. The correct affiliations should read: 1Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA; 2Department of Molecular Biology, Princeton University, Princeton, NJ, USA; and 9Present address: Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Further, the source data files for Extended Data Figs. 5 and 6 were initially listed as source data for Extended Data Figs. 4 and 5. The files have been revised online and the errors corrected in the HTML and PDF versions of the article.


Articles from Nature Methods are provided here courtesy of Nature Publishing Group

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