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Critical delay for overshooting in planned arm movements with delayed feedback
Dan Beamish1, Christopher Peskun, Jianhong Wu
1Department of Mathematics, York University, North York, Ontario, Canada M3J 1P3. beamish@yorku.ca
Journal of Mathematical Biology
|August 24, 2004
Summary
The Vector Integration To Endpoint (VITE) circuit models planned arm movements. Slowing movement speed allows the VITE model to tolerate longer neural delays while maintaining accuracy.
Area of Science:
- Computational neuroscience
- Robotics
- Motor control
Background:
- The Vector Integration To Endpoint (VITE) circuit is a real-time neural network model.
- It simulates planned arm movements through interacting neuronal populations.
Purpose of the Study:
- To investigate the impact of delays between neuronal populations on movement accuracy.
- To determine conditions for accurate movement and target overshoot in the VITE model.
Main Methods:
- Generalizing the VITE model to incorporate delays between interacting neuronal populations.
- Analyzing model parameters to identify conditions for accurate movement.
Main Results:
- Introducing delay between neuronal populations detrimentally affects movement accuracy.
- A non-zero critical delay exists for accurate movement, dependent on movement speed.
- This critical delay increases with slower movement speeds.
Conclusions:
- Neurobiological and artificial systems using the VITE sensory-motor loop can tolerate significant delays.
- Sufficiently slow movement speeds enable tolerance of arbitrarily large delays in the VITE model.