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Computer Animation Technology in Behavioral Sciences: A Sequential, Automatic, and High-Throughput roach to Quantifying Personality in Zebrafish

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Authors

Fangmeier, Melissa L.
Noble, Daniel W. A.
O'Dea, Rose E.
Usui, Takuji
Lagisz, M.
Hesselson, Daniel
Nakagawa, Shinichi

Journal Title

Journal ISSN

Volume Title

Publisher

Mary Ann Liebert Inc.

Abstract

An emergent field of animal personality necessitates a method for repeated high-throughput quantification of behavioral traits across contexts. In this study, we have developed an automated video stimulus approach to sequentially present different contexts relevant to five "personality" traits (exploration, boldness, neophobia, aggression, and sociability), successfully quantifying repeatable trait measurements in multiple individuals simultaneously. Although our method is designed to quantify personality traits in zebrafish, our approach can accommodate the quantification of other behaviors, and could be customized for other species. All digital materials and detailed protocols are publicly available online for researchers to freely use and modify.

Description

Citation

Melissa L. Fangmeier, Daniel W.A. Noble, Rose E. O'Dea, Takuji Usui, Malgorzata Lagisz, Daniel Hesselson, and Shinichi Nakagawa.Zebrafish.Apr 2018.206-210.http://doi.org/10.1089/zeb.2017.1532

Source

Zebrafish

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Access Statement

License Rights

Restricted until

2099-12-31

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