Methods for the effective study of collective behavior in a radial arm maze
Document Type
Article
Publication Date
8-1-2018
Abstract
Collective behaviors are observed throughout nature, from bacterial colonies to human societies. Important theoretical breakthroughs have recently been made in understanding why animals produce group behaviors and how they coordinate their activities, build collective structures, and make decisions. However, standardized experimental methods to test these findings have been lacking. Notably, easily and unambiguously determining the membership of a group and the responses of an individual within that group is still a challenge. The radial arm maze is presented here as a new standardized method to investigate collective exploration and decision-making in animal groups. This paradigm gives individuals within animal groups the opportunity to make choices among a set of discrete alternatives, and these choices can easily be tracked over long periods of time. We demonstrate the usefulness of this paradigm by performing a set of refuge-site selection experiments with groups of fish. Using an open-source, robust custom image-processing algorithm, we automatically counted the number of animals in each arm of the maze to identify the majority choice. We also propose a new index to quantify the degree of group cohesion in this context. The radial arm maze paradigm provides an easy way to categorize and quantify the choices made by animals. It makes it possible to readily apply the traditional uses of the radial arm maze with single animals to the study of animal groups. Moreover, it opens up the possibility of studying questions specifically related to collective behaviors.
Identifier
85042210171 (Scopus)
Publication Title
Behavior Research Methods
External Full Text Location
https://doi.org/10.3758/s13428-018-1024-9
e-ISSN
15543528
ISSN
1554351X
PubMed ID
29464590
First Page
1673
Last Page
1685
Issue
4
Volume
50
Grant
2.4617.08F
Fund Ref
Fonds De La Recherche Scientifique - FNRS
Recommended Citation
    Delcourt, Johann; Miller, Noam Y.; Couzin, Iain D.; and Garnier, Simon, "Methods for the effective study of collective behavior in a radial arm maze" (2018). Faculty Publications.  8475.
    
    
    
        https://digitalcommons.njit.edu/fac_pubs/8475
    
 
				 
					