ArticleScientific reports2018
Attraction of posture and motion-trajectory elements of conspecific biological motion in medaka fish.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Detecting biological motion signals in human and monkey superior colliculus: a subcortical-cortical pathway for biological motion perception.Nature communications · 2024Article
- Life is in motion (through a chick's eye).Animal cognition · 2023Review
- Gravity-Dependent Animacy Perception in Zebrafish.Research (Washington, D.C.) · 2022Article
- Interspecies Behavioral Variability of Medaka Fish Assessed by Comparative Phenomics.International journal of molecular sciences · 2021Article
- Perceptual mechanisms of social affiliation in zebrafish.Scientific reports · 2020Article
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8 authors.
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Abstract
Visual recognition of conspecifics is necessary for a wide range of social behaviours in many animals. Medaka (Japanese rice fish), a commonly used model organism, are known to be attracted by the biological motion of conspecifics. However, biological motion is a composite of both body-shape motion and entire-field motion trajectory (i.e., posture or motion-trajectory elements, respectively), and it has not been revealed which element mediates the attractiveness. Here, we show that either posture or motion-trajectory elements alone can attract medaka. We decomposed biological motion of the medaka into the two elements and synthesized visual stimuli that contain both, either, or none of the two elements. We found that medaka were attracted by visual stimuli that contain at least one of the two elements. In the context of other known static visual information regarding the medaka, the potential multiplicity of information regarding conspecific recognition has further accumulated. Our strategy of decomposing biological motion into these partial elements is applicable to other animals, and further studies using this technique will enhance the basic understanding of visual recognition of conspecifics.
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