Literature DB >> 29381430

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

Melissa L Fangmeier1,2, Daniel W A Noble1, Rose E O'Dea1,2, Takuji Usui1,2, Malgorzata Lagisz1,2, Daniel Hesselson2,3, Shinichi Nakagawa1,2.   

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.

Entities:  

Keywords:  animal personality; automation; behavioral phenotyping; consistency

Mesh:

Year:  2018        PMID: 29381430     DOI: 10.1089/zeb.2017.1532

Source DB:  PubMed          Journal:  Zebrafish        ISSN: 1545-8547            Impact factor:   1.985


  3 in total

1.  A Comparison of Individual Learning and Social Learning in Zebrafish Through an Ethorobotics Approach.

Authors:  Yanpeng Yang; Romain J G Clément; Stefano Ghirlanda; Maurizio Porfiri
Journal:  Front Robot AI       Date:  2019-08-14

2.  The zebrafish Multivariate Concentric Square Field: A Standardized Test for Behavioral Profiling of Zebrafish (Danio rerio).

Authors:  Laura E Vossen; Ronja Brunberg; Pontus Rådén; Svante Winberg; Erika Roman
Journal:  Front Behav Neurosci       Date:  2022-03-17       Impact factor: 3.558

3.  Intelligent Animation Creation Method Based on Spatial Separation Perception Algorithm.

Authors:  Qingbo Meng
Journal:  Comput Intell Neurosci       Date:  2022-09-19
  3 in total

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