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Conservation law for self-paced movements.

Dongsung Huh1, Terrence J Sejnowski2

  • 1Howard Hughes Medical Institute, Salk Institute for Biological Studies, La Jolla, CA 92037; Gatsby Computational Neuroscience Unit, University College London, London W1T 4JG, United Kingdom; huh@salk.edu terry@salk.edu.

Proceedings of the National Academy of Sciences of the United States of America
|July 16, 2016
PubMed
Summary
This summary is machine-generated.

We introduce "drive," a conserved quantity reflecting internal motivation, as a dual to optimal control for movement pace. Drive conservation predicts and explains a new scaling law in self-paced hand movements.

Keywords:
conservation lawinternal motivationmotor systemoptimal controlscaling law in movements

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Area of Science:

  • Motor control
  • Computational neuroscience
  • Biomechanics

Background:

  • Optimal control models explain biological movements using external factors to set pace.
  • Internal motivation's influence on movement speed is not fully understood.
  • Existing models lack a comprehensive explanation for variations across different movements.

Purpose of the Study:

  • To present a dual principle to optimal control, termed "drive" conservation.
  • To explain the influence of internal motivation on movement pace.
  • To identify and validate a new scaling law for self-paced movements.

Main Methods:

  • Developed a theoretical framework based on drive conservation, a conserved quantity representing internal motivation.
  • Formulated predictions for scaling laws governing movement parameters.
  • Conducted psychophysical experiments to test predictions with self-paced hand movements.

Main Results:

  • Optimal control and drive conservation offer equivalent explanations for individual movement regularities.
  • Drive conservation predicts a novel scaling law between movement size and speed for self-paced actions.
  • Experimental data confirmed the predicted scaling law, demonstrating its empirical validity.

Conclusions:

  • Drive, a high-level control variable, governs movement pace based on internal motivation.
  • Drive may be neurally represented by neuromodulator levels influencing motivation.
  • This framework provides new insights into how internal states modulate biological motor control and movement speed.