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Mathematical and philosophical reflections on motor control systems.

E Otten1

  • 1Department of Neurobiology and Oral Physiology, University of Groningen, The Netherlands.

Acta Morphologica Neerlando-Scandinavica
|January 1, 1989
PubMed
Summary

This study integrates numerical models of motor control components, from sarcomeres to neural networks, to understand chewing mechanics in rats. It explores how organ properties relate to function and emergent system behaviors.

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Area of Science:

  • Biomechanics
  • Computational Biology
  • Neuroscience

Background:

  • The Dutch school of functional morphology emphasizes integrating biological structures and functions.
  • Understanding motor control requires modeling complex interactions between various biological components.

Purpose of the Study:

  • To determine if numerical properties of motor control organs are explainable by their functions.
  • To identify emergent properties arising from the integration of motor control components into a system.
  • To simulate the motor control system of chewing in rats.

Main Methods:

  • Integration of numerical models for sarcomeres, muscle fibers, muscles, bone-connective-tissue systems, joints, muscle spindles, and neural networks.
  • Development of a comprehensive model simulating motor control.
  • Application of the model to the chewing system in rats.

Main Results:

  • The study provides a framework for analyzing the functional basis of organ properties in motor control.
  • It highlights emergent properties of integrated motor systems beyond the sum of individual components.
  • The model offers insights into the biomechanics and neural control of chewing.

Conclusions:

  • Integrated numerical modeling is a powerful approach to understanding functional morphology and motor control.
  • Emergent properties are crucial for a complete understanding of biological systems.
  • The rat chewing system serves as a valuable model for studying complex motor control.

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