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Internal models direct dragonfly interception steering

Author

Listed:
  • Matteo Mischiati

    (Janelia Research Campus, Howard Hughes Medical Institute; 19700 Helix Drive
    19700 Helix Drive)

  • Huai-Ti Lin

    (Janelia Research Campus, Howard Hughes Medical Institute; 19700 Helix Drive
    19700 Helix Drive)

  • Paul Herold

    (Janelia Research Campus, Howard Hughes Medical Institute; 19700 Helix Drive
    19700 Helix Drive)

  • Elliot Imler

    (University of Arizona, 1040 E. 4th Street, Tucson, Arizona 85721, USA)

  • Robert Olberg

    (Union College, 807 Union Street)

  • Anthony Leonardo

    (Janelia Research Campus, Howard Hughes Medical Institute; 19700 Helix Drive
    19700 Helix Drive)

Abstract

Sensorimotor control in vertebrates relies on internal models. When extending an arm to reach for an object, the brain uses predictive models of both limb dynamics and target properties. Whether invertebrates use such models remains unclear. Here we examine to what extent prey interception by dragonflies (Plathemis lydia), a behaviour analogous to targeted reaching, requires internal models. By simultaneously tracking the position and orientation of a dragonfly’s head and body during flight, we provide evidence that interception steering is driven by forward and inverse models of dragonfly body dynamics and by models of prey motion. Predictive rotations of the dragonfly’s head continuously track the prey’s angular position. The head–body angles established by prey tracking appear to guide systematic rotations of the dragonfly’s body to align it with the prey’s flight path. Model-driven control thus underlies the bulk of interception steering manoeuvres, while vision is used for reactions to unexpected prey movements. These findings illuminate the computational sophistication with which insects construct behaviour.

Suggested Citation

  • Matteo Mischiati & Huai-Ti Lin & Paul Herold & Elliot Imler & Robert Olberg & Anthony Leonardo, 2015. "Internal models direct dragonfly interception steering," Nature, Nature, vol. 517(7534), pages 333-338, January.
  • Handle: RePEc:nat:nature:v:517:y:2015:i:7534:d:10.1038_nature14045
    DOI: 10.1038/nature14045
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    Cited by:

    1. Samuel T. Fabian & Yash Sondhi & Pablo E. Allen & Jamie C. Theobald & Huai-Ti Lin, 2024. "Why flying insects gather at artificial light," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    2. Weston Cox & Brian J Fischer, 2015. "Optimal Prediction of Moving Sound Source Direction in the Owl," PLOS Computational Biology, Public Library of Science, vol. 11(7), pages 1-20, July.

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