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Published on: April 8, 2019
The Role of Motion Extrapolation in Amphibian Prey Capture
Bart G Borghuis1, Anthony Leonardo2
1Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia 20147, and Department of Anatomical Sciences and Neurobiology, University of Louisville, School of Medicine, Louisville, Kentucky 40202 bart.borghuis@louisville.edu leonardoa@janelia.hhmi.org.
Salamanders accurately predict prey movement using linear extrapolation to compensate for sensorimotor delays, significantly improving hunting success. This predictive mechanism helps them overcome visual and motor processing lags during foraging.
Area of Science:
- Neuroscience
- Animal Behavior
- Biomechanics
Background:
- Sensorimotor delays decouple actions from triggering events.
- The brain uses predictive mechanisms to compensate for these delays.
- The efficacy and timescale of these predictive mechanisms are not fully understood.
Purpose of the Study:
- To assess how prediction compensates for prey movement during salamander visuomotor processing.
- To understand the role of prediction in prey capture under natural foraging conditions.
Main Methods:
- Recorded high-speed video of freely moving, tongue-projecting salamanders catching walking prey.
- Analyzed head turn and tongue projection timing relative to prey movement.
- Developed and tested a linear extrapolation model to predict prey position.
Main Results:
- Salamanders exhibit a rapid head turn preceding tongue projection, compensating for a significant visuomotor delay.
- Tongue projections were highly accurate, not lagging prey position.
- A linear extrapolation model accurately predicted prey position, explaining both successful and unsuccessful strikes.
- Model parameters align with known retinal processing latencies.
Conclusions:
- Salamanders use linear extrapolation to predict future prey position, compensating for visual and motor processing delays.
- This predictive ability significantly enhances prey capture success across various conditions.
- The study defines computations and operating parameters for neural circuits involved in motion prediction.

