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MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
Published on: May 10, 2012
Learning novel mappings from optic flow to the control of action
1Department of Cognitive Science, Rensselaer Polytechnic Institute, Troy, NY 12180-3590, USA. fajenb@rpi.edu
Journal of Vision
|October 4, 2008
Summary
People adapt to new system dynamics by learning visual-motor mappings. This study shows adaptation to altered braking systems using optic flow information for improved visuomotor control.
Area of Science:
- Neuroscience
- Human motor control
- Perception-action coupling
Background:
- Perceptual-motor skills involve sensory-to-movement mappings.
- Acquisition and updating of these mappings remain poorly understood.
- Visuomotor control relies on integrating sensory information with motor commands.
Purpose of the Study:
- To investigate how individuals learn and adapt to novel dynamics in a controlled system.
- To determine if adaptation involves learning new mappings from optic flow to movement.
- To explore the role of optic flow in robust visuomotor control.
Main Methods:
- A simulated braking task was employed.
- Two groups experienced different brake dynamics (pedal position vs. pedal position and speed).
- Adaptation was assessed by analyzing the use of optic flow variables.
Main Results:
- Both groups successfully adapted to their respective brake dynamics.
- Subjects learned to utilize distinct combinations of optic flow variables for adaptation.
- This demonstrates a novel form of adaptation in visuomotor control.
Conclusions:
- The human motor system can learn novel sensory-to-movement mappings based on optic flow.
- Adaptation to altered system dynamics is a key component of robust visuomotor control.
- Optic flow plays a critical, previously unreported role in adapting motor behavior.
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