ArticleProceedings of the National Academy of Sciences of the United States of America2023
Evaluating evasion strategies in zebrafish larvae.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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4 citing papers in PubMed, 15 citations in OpenAlex.
- Optimal locomotor strategy for predator avoidance in fish prey.The Journal of experimental biology · 2026Article
- Self-reorganization and information transfer in large-scale models of fish schools.Nature communications · 2026Article
- Noise-induced collective memory in schooling fish.Bioinspiration & biomimetics · 2026Article
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5 authors at 2 institutions in 2 countries.
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Abstract
An effective evasion strategy allows prey to survive encounters with predators. Prey are generally thought to escape in a direction that is either random or serves to maximize the minimum distance from the predator. Here, we introduce a comprehensive approach to determine the most likely evasion strategy among multiple hypotheses and the role of biomechanical constraints on the escape response of prey fish. Through a consideration of six strategies with sensorimotor noise and previous kinematic measurements, our analysis shows that zebrafish larvae generally escape in a direction orthogonal to the predator's heading. By sensing only the predator's heading, this orthogonal strategy maximizes the distance from fast-moving predators, and, when operating within the biomechanical constraints of the escape response, it provides the best predictions of prey behavior among all alternatives. This work demonstrates a framework for resolving the strategic basis of evasion in predator-prey interactions, which could be applied to a broad diversity of animals.
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