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Movement variability resulting from different noise sources: a simulation study.

Y Shi1, C A Buneo

  • 1School of Biological and Health Systems Engineering, Arizona State University, P.O. Box 879709, Tempe, AZ 85287, USA. yshi7@asu.edu

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Summary
This summary is machine-generated.

Movement variability stems from noise in sensing limb position and planning movement trajectories. This study simulated these noise sources, revealing complex interactions influencing arm movement across the workspace.

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Area of Science:

  • Motor control
  • Biomechanics
  • Computational neuroscience

Background:

  • Limb movements exhibit significant variability due to noise in sensory and motor processes.
  • Understanding the sources of this noise is crucial for explaining motor variability and its alterations in neurological conditions.

Purpose of the Study:

  • To predict the impact of position sensing noise and trajectory planning noise on arm movement variability using simulations.
  • To compare the effects of sensing and planning noise with previously modeled execution noise.
  • To investigate the complex interactions between sensing and planning noise across different movement conditions.

Main Methods:

  • A simulation approach was employed to model the effects of noise on limb movement.
  • Noise sources included position sensing noise and trajectory planning noise.
  • Simulated movement variability was analyzed across the workspace and compared to existing models.

Main Results:

  • Noise in limb position sensing and trajectory planning significantly affects arm movement variability.
  • The impact of sensing and planning noise is dependent on movement direction and initial arm configuration.
  • Sensing and planning noise interact in complex ways, differing from the effects of execution noise.

Conclusions:

  • Sensing and planning noise play critical roles in determining motor variability.
  • These findings offer insights into neurological disorders characterized by exaggerated movement variability.
  • The results aid in interpreting neurophysiological studies linking neural and behavioral variability.