ArticleProceedings of the National Academy of Sciences of the United States of America2017
Discrete modes of social information processing predict individual behavior of fish in a group.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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28 citing papers in PubMed.
- Experience-dependent modulation of collective behavior in larval zebrafish.Nature communications · 2026Article
- Size-selective mortality evolutionarily alters collective behaviour in response to predation risk in a zebrafish (Danio rerio) harvest-induced selection model.Journal of fish biology · 2026Article
- The Lateral Line Facilitates Rapid Responses in Accelerating Fish Schools.Integrative and comparative biology · 2026Article
- Cadences of the collective: conspecific stimulation patterns interact with endogenous rhythms to cue socially mediated response shifts.The Journal of experimental biology · 2026Article
- Collective Behavior in Medaka Fish Depends on Discrete Kinematic States of Swimming Behavior.bioRxiv : the preprint server for biology · 2025Article
- Collective phases and long-term dynamics in a fish school model with burst-and-coast swimming.Royal Society open science · 2025Article
- Revealing the mechanism and function underlying pairwise temporal coupling in collective motion.Nature communications · 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
- Pausing to swarm: locust intermittent motion is instrumental for swarming-related visual processing.Biology letters · 2024Article
- IoT and ML approach for ornamental fish behaviour analysis.Scientific reports · 2023Article
- Inferring social influence in animal groups across multiple timescales.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Article
- Low-distortion information propagation with noise suppression in swarm networks.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Social behavioral profiling by unsupervised deep learning reveals a stimulative effect of dopamine D3 agonists on zebrafish sociality.Cell reports methods · 2023Article
- Article
- Precise visuomotor transformations underlying collective behavior in larval zebrafish.Nature communications · 2021Article
- Searching for structure in collective systems.Theory in biosciences = Theorie in den Biowissenschaften · 2021Article
- Collective behavior emerges from genetically controlled simple behavioral motifs in zebrafish.Science advances · 2021Article
- Collective predator evasion: Putting the criticality hypothesis to the test.PLoS computational biology · 2021Article
- A statistical method for identifying different rules of interaction between individuals in moving animal groups.Journal of the Royal Society, Interface · 2021Article
- Burst-and-coast swimmers optimize gait by adapting unique intrinsic cycle.Communications biology · 2021Article
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3 authors.
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Abstract
Individual computations and social interactions underlying collective behavior in groups of animals are of great ethological, behavioral, and theoretical interest. While complex individual behaviors have successfully been parsed into small dictionaries of stereotyped behavioral modes, studies of collective behavior largely ignored these findings; instead, their focus was on inferring single, mode-independent social interaction rules that reproduced macroscopic and often qualitative features of group behavior. Here, we bring these two approaches together to predict individual swimming patterns of adult zebrafish in a group. We show that fish alternate between an "active" mode, in which they are sensitive to the swimming patterns of conspecifics, and a "passive" mode, where they ignore them. Using a model that accounts for these two modes explicitly, we predict behaviors of individual fish with high accuracy, outperforming previous approaches that assumed a single continuous computation by individuals and simple metric or topological weighing of neighbors' behavior. At the group level, switching between active and passive modes is uncorrelated among fish, but correlated directional swimming behavior still emerges. Our quantitative approach for studying complex, multimodal individual behavior jointly with emergent group behavior is readily extensible to additional behavioral modes and their neural correlates as well as to other species.
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