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Computer Animation Technology in Behavioral Sciences: A Sequential, Automatic, and High-Throughput Approach to Quantifying Personality in Zebrafish (Danio rerio)

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.

Type Journal
ISBN 1557-8542 (Electronic) 1545-8547 (Linking)
Authors Fangmeier, M. L.; Noble, D. W. A.; O'Dea, R. E.; Usui, T.; Lagisz, M.; Hesselson, D.; Nakagawa, S.
Responsible Garvan Author A/Prof Shinichi Nakagawa
Publisher Name Zebrafish
Published Date 2018-04-09
Published Volume 15
Published Issue 2
Published Pages 206-210
Status Published in-print
DOI 10.1089/zeb.2017.1532
URL link to publisher's version https://www.ncbi.nlm.nih.gov/pubmed/29381430