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Sensorimotor model of bat echolocation and prey capture

R Kuc1

  • 1Department of Electrical Engineering, Yale University, New Haven, Connecticut 06520-8284.

The Journal of the Acoustical Society of America
|October 1, 1994
PubMed
Summary
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This study models bat echolocation for prey capture, revealing a simple system suffices for tracking. Bats use acoustic beams and heading corrections to successfully catch prey, even with speed variations.

Area of Science:

  • Bioacoustics
  • Sensorimotor control
  • Computational neuroscience

Background:

  • Prey capture in bats relies on sophisticated echolocation.
  • Understanding the sensorimotor control underlying bat hunting is crucial.

Purpose of the Study:

  • To model the bat sensorimotor system for prey capture using echolocation.
  • To identify fundamental issues and solutions in bat-guided predation.

Main Methods:

  • Developed a computational model of the big brown bat (Eptesicus fuscus) sensorimotor system.
  • Utilized acoustics, signal processing, and control theory.
  • Simulated passive prey capture scenarios with varying prey dynamics.

Main Results:

  • A simple system can achieve successful nonpredictive tracking of ideal prey.

Related Experiment Videos

  • Bats use fundamental and overtone frequencies for two acoustic beams.
  • Nonlinear controllers adjust heading (yaw and pitch) for prey interception.
  • Pitch correction strategy resolves ambiguity and directs prey to capture region.
  • Capture probability decreases with increasing prey speed; lateral motion is critical.
  • Blind stages during echolocation have negligible impact on capture efficiency.

    • Conclusions:

    • Bat echolocation for prey capture is achievable with a simplified sensorimotor model.
    • Acoustic beam properties and precise heading corrections are key to successful predation.
    • Prey speed and lateral motion significantly influence capture success.