ArticleProceedings of the National Academy of Sciences of the United States of America2024
Selective social interactions and speed-induced leadership in schooling fish.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 21 citations in OpenAlex.
- Closed-loop real-virtual interactions validate 3D model of social coordination in fish.PLoS computational biology · 2026Article
- Swimming with robots: investigating fish locomotion, sensing, and schooling behavior with robotic swimmers.Nature communications · 2026Review
- An open-source closed-loop Virtual Reality system to investigate social interactions and collective behavior in fish.PloS one · 2026Article
- Collective phases and long-term dynamics in a fish school model with burst-and-coast swimming.Royal Society open science · 2025Article
- Towards the yin and yang of fish locomotion: linking energetics, ecology and mechanics through field and lab approaches.The Journal of experimental biology · 2025Review
- Collective responses of flocking sheep (Ovis aries) to a herding dog (border collie).Communications biology · 2024Article
- Tuning collective behaviour in zebrafish with genetic modification.PLoS computational biology · 2024Article
- Selective social interactions and speed-induced leadership in schooling fish.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
Animals moving together in groups are believed to interact among each other with effective social forces, such as attraction, repulsion, and alignment. Such forces can be inferred using "force maps," i.e., by analyzing the dependency of the acceleration of a focal individual on relevant variables. Here, we introduce a force map technique suitable for the analysis of the alignment forces experienced by individuals. After validating it using an agent-based model, we apply the force map to experimental data of schooling fish. We observe signatures of an effective alignment force with faster neighbors and an unexpected antialignment with slower neighbors. Instead of an explicit antialignment behavior, we suggest that the observed pattern is the result of a selective attention mechanism, where fish pay less attention to slower neighbors. This mechanism implies the existence of temporal leadership interactions based on relative speeds between neighbors. We present support for this hypothesis both from agent-based modeling as well as from exploring leader-follower relationships in the experimental data.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.