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Computations underlying the execution of movement: a biological perspective.

E Bizzi1, F A Mussa-Ivaldi, S Giszter

  • 1Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge 02139.

Science (New York, N.Y.)
|July 19, 1991
PubMed
Summary

The central nervous system converts movement plans into muscle signals, addressing an ill-posed problem. A coarse map in spinal cord premotor areas aids this transformation for diverse motor behaviors.

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Area of Science:

  • Neuroscience
  • Motor Control
  • Computational Neuroscience

Background:

  • Voluntary movements require the central nervous system (CNS) to translate neural representations of movement parameters (direction, amplitude, velocity) into muscle activation signals.
  • This neural-to-motor command transformation is computationally challenging due to the high dimensionality of the musculoskeletal system compared to the specified motor plan.

Purpose of the Study:

  • To describe mechanisms and circuitry involved in transforming motor plans into motor commands.
  • To elucidate how the CNS solves the ill-posed problem of motor control.

Main Methods:

  • The study describes theoretical mechanisms and circuitry underlying motor plan transformation.
  • Focuses on the role of neural representations and spinal cord circuitry.

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Main Results:

  • A key feature identified is a coarse map of limb postures within the premotor areas of the spinal cord.
  • Vectorial combination of motor outputs across different spinal map regions can generate a wide range of motor behaviors.

Conclusions:

  • The spinal cord's premotor areas play a crucial role in motor control by organizing limb posture information.
  • A distributed processing approach, involving the combination of motor outputs within the spinal map, enables the generation of complex and varied movements.