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Summary
This summary is machine-generated.

The central nervous system balances absolute force and noise in motor control. For higher forces, it equally considers normalized force, while noise minimization becomes less important.

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Area of Science:

  • Neuroscience
  • Motor Control
  • Biomechanics

Background:

  • Motor control involves managing redundant degrees of freedom and nonlinear dynamics.
  • Distinguishing between effort and motor noise in motor output has been challenging due to their coupled relationship.
  • Previous studies could not uniquely identify factors influencing motor output across different force levels.

Purpose of the Study:

  • To investigate how the central nervous system shares force between redundant degrees of freedom at higher force levels.
  • To determine the weighting of absolute force, normalized force, and motor noise in motor control.
  • To develop and apply a Markov chain Monte Carlo (MCMC) method for estimating these weightings.

Main Methods:

  • Experimental investigation of force sharing between two fingers across varying force levels.
  • Development of a novel Markov chain Monte Carlo (MCMC) method for parameter estimation.
  • Analysis of motor output considering signal-dependent noise and force amplitude.

Main Results:

  • Force sharing strategy significantly depends on the required force level.
  • At higher forces, normalized force is weighted similarly to absolute force.
  • The contribution of noise minimization to motor control diminishes at higher force levels.

Conclusions:

  • The central nervous system adapts its motor control strategy based on force magnitude.
  • Motor control prioritizes absolute force at low levels, but incorporates normalized force more heavily at high levels.
  • Noise reduction is a less critical factor in motor control when high forces are required.