8
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Aggressive dominance can decrease behavioral complexity on subordinates through synchronization of locomotor activities

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Social environments are known to influence behavior. Moreover, within small social groups, dominant/subordinate relationships frequently emerge. Dominants can display aggressive behaviors towards subordinates and sustain priority access to resources. Herein, Japanese quail ( Coturnix japonica) were used, given that they establish hierarchies through frequent aggressive interactions. We apply a combination of different mathematical tools to provide a precise quantification of the effect of social environments and the consequence of dominance at an individual level on the temporal dynamics of behavior. Main results show that subordinates performed locomotion dynamics with stronger long-range positive correlations in comparison to birds that receive few or no aggressions from conspecifics (more random dynamics). Dominant birds and their subordinates also showed a high level of synchronization in the locomotor pattern, likely emerging from the lack of environmental opportunities to engage in independent behavior. Findings suggest that dominance can potentially modulate behavioral dynamics through synchronization of locomotor activities.

          Abstract

          Rocio S. Alcala, J. Martin Caliva et al. quantify and model the effect of social environments and individual dominance on temporal dynamics of behaviour in the Japanese quail. They show that dominance can decrease behavioural complexity due to higher levels of synchronization in locomotion.

          Related collections

          Most cited references64

          • Record: found
          • Abstract: found
          • Article: not found

          idTracker: tracking individuals in a group by automatic identification of unmarked animals.

          Animals in groups touch each other, move in paths that cross, and interact in complex ways. Current video tracking methods sometimes switch identities of unmarked individuals during these interactions. These errors propagate and result in random assignments after a few minutes unless manually corrected. We present idTracker, a multitracking algorithm that extracts a characteristic fingerprint from each animal in a video recording of a group. It then uses these fingerprints to identify every individual throughout the video. Tracking by identification prevents propagation of errors, and the correct identities can be maintained indefinitely. idTracker distinguishes animals even when humans cannot, such as for size-matched siblings, and reidentifies animals after they temporarily disappear from view or across different videos. It is robust, easy to use and general. We tested it on fish (Danio rerio and Oryzias latipes), flies (Drosophila melanogaster), ants (Messor structor) and mice (Mus musculus).
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Social environment and physical activity: a review of concepts and evidence.

            The rapidly growing and evolving literature on the social environment and its influence on health outcomes currently lacks a clear taxonomy of dimensions of the social environment and the differing mechanisms through which each influences health-related behavior. This paper identifies five dimensions of the social environment-social support and social networks, socioeconomic position and income inequality, racial discrimination, social cohesion and social capital, and neighborhood factors-and considers each in the context of physical activity to illustrate important differences between them. Increasing the specificity of terminology and methods in social environmental research on health will enable more systematic inquiry and accelerate the rate of scientific discovery in this important area.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Detrended Fluctuation Analysis: A Scale-Free View on Neuronal Oscillations

              Recent years of research have shown that the complex temporal structure of ongoing oscillations is scale-free and characterized by long-range temporal correlations. Detrended fluctuation analysis (DFA) has proven particularly useful, revealing that genetic variation, normal development, or disease can lead to differences in the scale-free amplitude modulation of oscillations. Furthermore, amplitude dynamics is remarkably independent of the time-averaged oscillation power, indicating that the DFA provides unique insights into the functional organization of neuronal systems. To facilitate understanding and encourage wider use of scaling analysis of neuronal oscillations, we provide a pedagogical explanation of the DFA algorithm and its underlying theory. Practical advice on applying DFA to oscillations is supported by MATLAB scripts from the Neurophysiological Biomarker Toolbox (NBT) and links to the NBT tutorial website http://www.nbtwiki.net/. Finally, we provide a brief overview of insights derived from the application of DFA to ongoing oscillations in health and disease, and discuss the putative relevance of criticality for understanding the mechanism underlying scale-free modulation of oscillations.
                Bookmark

                Author and article information

                Contributors
                jkembro@unc.edu.ar
                Journal
                Commun Biol
                Commun Biol
                Communications Biology
                Nature Publishing Group UK (London )
                2399-3642
                12 December 2019
                12 December 2019
                2019
                : 2
                : 467
                Affiliations
                [1 ]ISNI 0000 0001 0115 2557, GRID grid.10692.3c, Universidad Nacional de Córdoba, Facultad de Ciencias Exactas, Físicas y Naturales, Instituto de Ciencia y Tecnología de los Alimentos (ICTA), ; Córdoba, Argentina
                [2 ]ISNI 0000 0001 1945 2152, GRID grid.423606.5, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Instituto de Investigaciones Biológicas y Tecnológicas (IIByT, CONICET-UNC), ; Córdoba, Argentina
                [3 ]ISNI 0000 0001 0115 2557, GRID grid.10692.3c, Universidad Nacional de Córdoba, Facultad de Matemática, Astronomía y Física, ; Córdoba, Argentina
                [4 ]ISNI 0000 0001 1945 2152, GRID grid.423606.5, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Centro de Investigaciones y Estudios de Matemática (CIEM, CONICET), ; Córdoba, Argentina
                [5 ]ISNI 0000 0001 0115 2557, GRID grid.10692.3c, Universidad Nacional de Córdoba, Facultad de Ciencias Exactas, Físicas y Naturales, Catedra de Química Biológica, ; Córdoba, Argentina
                Author information
                http://orcid.org/0000-0003-1127-8975
                Article
                710
                10.1038/s42003-019-0710-1
                6908596
                31872072
                255561d2-9157-405b-b67e-d612fdda0201
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 14 April 2019
                : 22 November 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100002923, Consejo Nacional de Investigaciones Científicas y Técnicas (National Scientific and Technical Research Council);
                Categories
                Article
                Custom metadata
                © The Author(s) 2018

                animal behaviour,data processing,scale invariance
                animal behaviour, data processing, scale invariance

                Comments

                Comment on this article