Literature DB >> 33500890

Insights into the Social Behavior of Surface and Cave-Dwelling Fish (Poecilia mexicana) in Light and Darkness through the Use of a Biomimetic Robot.

David Bierbach1,2, Juliane Lukas1,2,3, Anja Bergmann1, Kristiane Elsner1, Leander Höhne1, Christiane Weber1, Nils Weimar1, Lenin Arias-Rodriguez4, Hauke J Mönck5, Hai Nguyen2, Pawel Romanczuk6, Tim Landgraf5, Jens Krause2,3.   

Abstract

Biomimetic robots (BRs) are becoming more common in behavioral research and, if they are accepted as conspecifics, allow for new forms of experimental manipulations of social interactions. Nevertheless, it is often not clear which cues emanating from a BR are actually used as communicative signals and how species or populations with different sensory makeups react to specific types of BRs. We herein present results from experiments using two populations of livebearing fishes that differ in their sensory capabilities. In the South of Mexico, surface-dwelling mollies (Poecilia mexicana) successfully invaded caves and adapted to dark conditions. While almost without pigment, these cave mollies possess smaller but still functional eyes. Although previous studies found cave mollies to show reduced shoaling preferences with conspecifics in light compared to surface mollies, it is assumed that they possess specialized adaptations to maintain some kind of sociality also in their dark habitats. By testing surface- and cave-dwelling mollies with RoboFish, a BR made for use in laboratory experiments with guppies and sticklebacks, we asked to what extent visual and non-visual cues play a role in their social behavior. Both cave- and surface-dwelling mollies followed the BR as well as a live companion when tested in light. However, when tested in darkness, only surface-dwelling fish were attracted by a live conspecific, whereas cave-dwelling fish were not. Neither cave- nor surface-dwelling mollies were attracted to RoboFish in darkness. This is the first study to use BRs for the investigation of social behavior in mollies and to compare responses to BRs both in light and darkness. As our RoboFish is accepted as conspecific by both used populations of the Atlantic molly only under light conditions but not in darkness, we argue that our replica is providing mostly visual cues.
Copyright © 2018 Bierbach, Lukas, Bergmann, Elsner, Höhne, Weber, Weimar, Arias-Rodriguez, Mönck, Nguyen, Romanczuk, Landgraf and Krause.

Entities:  

Keywords:  Atlantic molly; Poecilia mexicana; RoboFish; biomimetic robot; cave molly

Year:  2018        PMID: 33500890      PMCID: PMC7805783          DOI: 10.3389/frobt.2018.00003

Source DB:  PubMed          Journal:  Front Robot AI        ISSN: 2296-9144


  27 in total

1.  Inferring the rules of interaction of shoaling fish.

Authors:  James E Herbert-Read; Andrea Perna; Richard P Mann; Timothy M Schaerf; David J T Sumpter; Ashley J W Ward
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-07       Impact factor: 11.205

2.  RoboFish: increased acceptance of interactive robotic fish with realistic eyes and natural motion patterns by live Trinidadian guppies.

Authors:  Tim Landgraf; David Bierbach; Hai Nguyen; Nadine Muggelberg; Pawel Romanczuk; Jens Krause
Journal:  Bioinspir Biomim       Date:  2016-01-12       Impact factor: 2.956

3.  Social integration of robots into groups of cockroaches to control self-organized choices.

Authors:  J Halloy; G Sempo; G Caprari; C Rivault; M Asadpour; F Tâche; I Saïd; V Durier; S Canonge; J M Amé; C Detrain; N Correll; A Martinoli; F Mondada; R Siegwart; J L Deneubourg
Journal:  Science       Date:  2007-11-16       Impact factor: 47.728

4.  [On comparative ethology of various Mollienesia species inclusive of a cave form of M. sphenops].

Authors:  J Parzefall
Journal:  Behaviour       Date:  1969       Impact factor: 1.991

5.  Fish and robots swimming together: attraction towards the robot demands biomimetic locomotion.

Authors:  Stefano Marras; Maurizio Porfiri
Journal:  J R Soc Interface       Date:  2012-02-22       Impact factor: 4.118

6.  Modulation of rat behaviour by using a rat-like robot.

Authors:  Qing Shi; Hiroyuki Ishii; Shinichi Kinoshita; Atsuo Takanishi; Satoshi Okabayashi; Naritoshi Iida; Hiroshi Kimura; Shigenobu Shibata
Journal:  Bioinspir Biomim       Date:  2013-10-04       Impact factor: 2.956

7.  Fish and robot dancing together: bluefin killifish females respond differently to the courtship of a robot with varying color morphs.

Authors:  P Phamduy; G Polverino; R C Fuller; M Porfiri
Journal:  Bioinspir Biomim       Date:  2014-09       Impact factor: 2.956

8.  Predator avoidance in extremophile fish.

Authors:  David Bierbach; Matthias Schulte; Nina Herrmann; Claudia Zimmer; Lenin Arias-Rodriguez; Jeane Rimber Indy; Rüdiger Riesch; Martin Plath
Journal:  Life (Basel)       Date:  2013-02-06

9.  Multiple cues produced by a robotic fish modulate aggressive behaviour in Siamese fighting fishes.

Authors:  Donato Romano; Giovanni Benelli; Elisa Donati; Damiano Remorini; Angelo Canale; Cesare Stefanini
Journal:  Sci Rep       Date:  2017-07-05       Impact factor: 4.379

10.  Technical and conceptual considerations for using animated stimuli in studies of animal behavior.

Authors:  Laura Chouinard-Thuly; Stefanie Gierszewski; Gil G Rosenthal; Simon M Reader; Guillaume Rieucau; Kevin L Woo; Robert Gerlai; Cynthia Tedore; Spencer J Ingley; John R Stowers; Joachim G Frommen; Francine L Dolins; Klaudia Witte
Journal:  Curr Zool       Date:  2016-10-23       Impact factor: 2.624

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  4 in total

1.  Model-based feedback control of live zebrafish behavior via interaction with a robotic replica.

Authors:  Pietro DeLellis; Edoardo Cadolini; Arrigo Croce; Yanpeng Yang; Mario di Bernardo; Maurizio Porfiri
Journal:  IEEE Trans Robot       Date:  2019-09-23       Impact factor: 5.567

2.  Open-source five degree of freedom motion platform for investigating fish-robot interaction.

Authors:  Brent Utter; Alexander Brown
Journal:  HardwareX       Date:  2020-03-18

Review 3.  Going Beyond the "Synthetic Method": New Paradigms Cross-Fertilizing Robotics and Cognitive Neuroscience.

Authors:  Edoardo Datteri; Thierry Chaminade; Donato Romano
Journal:  Front Psychol       Date:  2022-06-03

Review 4.  Collecting eco-evolutionary data in the dark: Impediments to subterranean research and how to overcome them.

Authors:  Stefano Mammola; Enrico Lunghi; Helena Bilandžija; Pedro Cardoso; Volker Grimm; Susanne I Schmidt; Thomas Hesselberg; Alejandro Martínez
Journal:  Ecol Evol       Date:  2021-05-01       Impact factor: 2.912

  4 in total

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