Methods for the effective study of collective behavior in a radial arm maze

Lade...
Vorschaubild
Dateien
Delcourt_2-rfnmi2lyp27x5.pdf
Delcourt_2-rfnmi2lyp27x5.pdfGröße: 604.14 KBDownloads: 204
Datum
2018
Autor:innen
Delcourt, Johann
Miller, Noam Y.
Garnier, Simon
Herausgeber:innen
Kontakt
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
ArXiv-ID
Internationale Patentnummer
EU-Projektnummer
DFG-Projektnummer
Forschungsförderung
Projekt
Open Access-Veröffentlichung
Sammlungen
Gesperrt bis
Titel in einer weiteren Sprache
Forschungsvorhaben
Organisationseinheiten
Zeitschriftenheft
Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published
Erschienen in
Behavior Research Methods. 2018, 50(4), pp. 1673-1685. ISSN 0743-3808. eISSN 1554-3528. Available under: doi: 10.3758/s13428-018-1024-9
Zusammenfassung

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.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
570 Biowissenschaften, Biologie
Schlagwörter
Collective behavior; Collective decision-making; Group cohesion; Fission–fusion societies
Konferenz
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690DELCOURT, Johann, Noam Y. MILLER, Iain D. COUZIN, Simon GARNIER, 2018. Methods for the effective study of collective behavior in a radial arm maze. In: Behavior Research Methods. 2018, 50(4), pp. 1673-1685. ISSN 0743-3808. eISSN 1554-3528. Available under: doi: 10.3758/s13428-018-1024-9
BibTex
@article{Delcourt2018-08Metho-42610,
  year={2018},
  doi={10.3758/s13428-018-1024-9},
  title={Methods for the effective study of collective behavior in a radial arm maze},
  number={4},
  volume={50},
  issn={0743-3808},
  journal={Behavior Research Methods},
  pages={1673--1685},
  author={Delcourt, Johann and Miller, Noam Y. and Couzin, Iain D. and Garnier, Simon}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/42610">
    <dc:contributor>Couzin, Iain D.</dc:contributor>
    <dc:creator>Garnier, Simon</dc:creator>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/42610"/>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:creator>Couzin, Iain D.</dc:creator>
    <dcterms:title>Methods for the effective study of collective behavior in a radial arm maze</dcterms:title>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/42610/1/Delcourt_2-rfnmi2lyp27x5.pdf"/>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
    <dc:language>eng</dc:language>
    <dcterms:issued>2018-08</dcterms:issued>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2018-06-19T12:40:29Z</dcterms:available>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:creator>Delcourt, Johann</dc:creator>
    <dc:contributor>Miller, Noam Y.</dc:contributor>
    <dc:contributor>Delcourt, Johann</dc:contributor>
    <dc:creator>Miller, Noam Y.</dc:creator>
    <dcterms:abstract xml:lang="eng">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.</dcterms:abstract>
    <dc:rights>terms-of-use</dc:rights>
    <dc:contributor>Garnier, Simon</dc:contributor>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/42610/1/Delcourt_2-rfnmi2lyp27x5.pdf"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2018-06-19T12:40:29Z</dc:date>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
  </rdf:Description>
</rdf:RDF>
Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Kontakt
URL der Originalveröffentl.
Prüfdatum der URL
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Ja