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An efficient method for sorting and quantifying individual social traits based on group-level behaviour
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Mathematics, Applied Mathematics and Statistics. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.ORCID iD: 0000-0001-9331-3214
Stockholm Univ, Zool Dept, Stockholm, Sweden.
Stockholm Univ, Zool Dept, Stockholm, Sweden.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Mathematics, Applied Mathematics and Statistics.
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2017 (English)In: Methods in Ecology and Evolution, ISSN 2041-210X, E-ISSN 2041-210X, Vol. 8, no 12, p. 1735-1744Article in journal (Refereed) Epub ahead of print
Place, publisher, year, edition, pages
2017. Vol. 8, no 12, p. 1735-1744
National Category
Behavioral Sciences Biology Control Engineering
Identifiers
URN: urn:nbn:se:uu:diva-330520DOI: 10.1111/2041-210X.12813ISI: 000417239200010OAI: oai:DiVA.org:uu-330520DiVA, id: diva2:1146230
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Linking social behaviour to the brain
Funder
Knut and Alice Wallenberg Foundation, 102 2013.0072Available from: 2017-06-15 Created: 2017-10-02 Last updated: 2018-03-08Bibliographically approved

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Szorkovszky, AlexSumpter, David J. T.Pelckmans, Kristiaan

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Szorkovszky, AlexSumpter, David J. T.Pelckmans, Kristiaan
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Applied Mathematics and StatisticsDepartment of Information TechnologyDivision of Systems and ControlAutomatic control
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Methods in Ecology and Evolution
Behavioral Sciences BiologyControl Engineering

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