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Speed-accuracy trade-off in planned arm movements with delayed feedback
D Beamish1, I Scott Mackenzie, Jianhong Wu
1Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100080, Peoples Republic of China. dan.beamish@gmail.com
Summary
The Vector Integration to Endpoint (VITE) circuit model reveals how neural delays impact planned arm and hand movements. Delays explain Fitts' law breakdowns and positive Y-intercepts observed in experiments.
Area of Science:
- Computational Neuroscience
- Motor Control
- Neural Network Modeling
Background:
- The Vector Integration to Endpoint (VITE) circuit models planned arm and hand movements.
- Understanding the speed-accuracy trade-off in motor control is crucial.
Purpose of the Study:
- To analyze the speed-accuracy trade-off in the VITE circuit, including delayed feedback.
- To investigate emergent properties of the VITE circuit with delayed feedback.
Main Methods:
- Simulated a real-time neural network model (VITE circuit).
- Incorporated delayed feedback into the VITE circuit simulations.
- Analyzed the circuit's performance concerning movement time and accuracy.
Main Results:
- Identified a breakdown of Fitts' law for small movement times relative to feedback delay.
- Observed a positive Y-intercept in Fitts' law plots with delayed feedback.
- The model's results align with experimental observations of Fitts' law deviations.
Conclusions:
- Neural delays may explain the breakdown of Fitts' law in certain tasks.
- Delayed feedback provides a theoretical basis for the positive Y-intercept of Fitts' law.
- The VITE circuit model offers insights into the neurobiological underpinnings of motor control and feedback delays.