Deep autoencoder-based behavioral pattern recognition outperforms standard statistical methods in high-dimensional zebrafish studies.

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Bibliographic Details
Title: Deep autoencoder-based behavioral pattern recognition outperforms standard statistical methods in high-dimensional zebrafish studies.
Authors: Green, Adrian J.1,2 (AUTHOR) ajgreen4@ncsu.edu, Truong, Lisa3 (AUTHOR), Thunga, Preethi1 (AUTHOR), Leong, Connor3 (AUTHOR), Hancock, Melody1 (AUTHOR), Tanguay, Robyn L.3 (AUTHOR), Reif, David M.1,4 (AUTHOR)
Source: PLoS Computational Biology. 9/10/2024, Vol. 20 Issue 9, p1-17. 17p.
Database: Academic Search Ultimate
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ISSN:1553734X
DOI:10.1371/journal.pcbi.1012423