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Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish
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Fish in a ring: spatio-temporal pattern formation in one-dimensional animal groups.

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  • 1Department of Mechanical and Aerospace Engineering, Polytechnic Institute of New York University, Six MetroTech Center, Brooklyn, NY 11201, USA.

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Summary

This study models fish schooling behavior using a novel topological approach. The model accurately captures collective decision-making and spatial patterns, outperforming traditional metric models in explaining real zebrafish behavior.

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Area of Science:

  • Collective behavior
  • Animal social dynamics
  • Computational ethology

Background:

  • Understanding fish schooling requires models that capture complex interactions and decision-making.
  • Existing models often rely on metric interactions, potentially missing key topological aspects of social networks.

Purpose of the Study:

  • To develop and validate a novel topological model for fish collective behavior in annular domains.
  • To investigate the influence of perceptual limits, numerosity, and group size on schooling patterns.
  • To compare the proposed topological model with a traditional metric model.

Main Methods:

  • Simulated self-propelled particles on a discrete lattice representing fish.
  • Incorporated information exchange based on perceptual limits and numerosity for collective decision-making.
  • Analyzed spatio-temporal patterns using network observables and validated with zebrafish schooling experiments.

Main Results:

  • The topological model successfully reproduces characteristic fish schooling behaviors observed in experiments.
  • Group size and obedience parameters significantly affect schooling dynamics and network features.
  • The topological model provides superior interpretability of experimental data compared to the metric model.

Conclusions:

  • A topological approach offers a powerful framework for understanding fish collective behavior and decision-making.
  • Perceptual numerosity and spatial density are critical factors influencing schooling dynamics.
  • The proposed model advances our ability to predict and explain complex social behaviors in animal groups.