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A variable refractory period increases collective performance in noisy environments.

Violette Chiara1, Patrick Arrufat1, Raphaël Jeanson1

  • 1Centre de Recherches sur la Cognition Animale (UMR5169), Centre de Biologie Intégrative, Université de Toulouse, CNRS, Université Paul Sabatier, 31062 Toulouse, France.

Proceedings of the National Academy of Sciences of the United States of America
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Summary
This summary is machine-generated.

Social spiders synchronize movements to hunt prey, using a flexible refractory period to adapt to environmental noise. This self-organized oscillation enhances prey detection and capture efficiency.

Keywords:
cooperationself-organizationspiderswarmsynchronization

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Area of Science:

  • Behavioral Ecology
  • Systems Biology
  • Biophysics

Background:

  • Synchronized oscillations are ubiquitous in biological systems, from cellular processes to ecosystems.
  • A common mechanism for oscillation involves delayed responses between interacting entities, requiring communication but susceptible to noise.

Purpose of the Study:

  • To elucidate the principles of synchronization in the social spider *Anelosimus eximius* during group hunting.
  • To investigate the role of individual behavioral rules and environmental factors in emergent oscillations.

Main Methods:

  • Developed a mechanistic model based on individual behavioral rules derived from field experiments.
  • Simulated spider group hunting dynamics to analyze synchronization patterns.

Main Results:

  • Emergence of oscillations in spiders is linked to a refractory state whose duration varies with prey and conspecific signal intensity.
  • This adaptive refractory period allows rapid adjustment to changing vibrational landscapes.
  • Synchronization benefits, including improved prey detection and reduced capture latency, outweigh immobility costs.

Conclusions:

  • Variable refractory periods, influenced by shared environmental information, facilitate self-organized oscillations in noisy conditions.
  • Findings offer insights into designing artificial systems requiring robust synchronization.