ArticleScientific reports2018
Collective gradient sensing in fish schools.
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 9 papers.
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Who cites it
9 citing papers in PubMed.
- Payoff selectivity drives collective intelligence during dynamic resource tracking in humans.Nature communications · 2026Article
- Evolution and stability of social learning in animal migration.Movement ecology · 2025Article
- Illuminance-tuned collective motion in fish.Communications biology · 2023Article
- The impact of individual perceptual and cognitive factors on collective states in a data-driven fish school model.PLoS computational biology · 2022Article
- Hydrodynamical Fingerprint of a Neighbour in a Fish Lateral Line.Frontiers in robotics and AI · 2022Article
- Dominating lengthscales of zebrafish collective behaviour.PLoS computational biology · 2022Article
- Modeling multi-sensory feedback control of zebrafish in a flow.PLoS computational biology · 2021Article
- The sensory basis of schooling by intermittent swimming in the rummy-nose tetra (Proceedings. Biological sciences · 2020Article
- Optimal Flow Sensing for Schooling Swimmers.Biomimetics (Basel, Switzerland) · 2020Article
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Authors and funding
3 authors.
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Abstract
Throughout the animal kingdom, animals frequently benefit from living in groups. Models of collective behaviour show that simple local interactions are sufficient to generate group morphologies found in nature (swarms, flocks and mills). However, individuals also interact with the complex noisy environment in which they live. In this work, we experimentally investigate the group performance in navigating a noisy light gradient of two unrelated freshwater species: golden shiners (Notemigonuscrysoleucas) and rummy nose tetra (Hemigrammus bleheri). We find that tetras outperform shiners due to their innate individual ability to sense the environmental gradient. Using numerical simulations, we examine how group performance depends on the relative weight of social and environmental information. Our results highlight the importance of balancing of social and environmental information to promote optimal group morphologies and performance.
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Registered trials
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