Neuromuscular control: from a biomechanist's perspective.

Area of Science:

• Integrative neuroscience
• Biomechanics
• Motor control

Background:

• Neural control of movement is a complex, interdisciplinary field.
• Understanding human movement requires integrating biomechanics, neuroscience, and motor control.
• Existing literature is vast, making connections between fields challenging.

Purpose of the Study:

• To integrate perspectives from biomechanics, neuroscience, and motor control.
• To elucidate the neural mechanisms underlying voluntary muscle control.
• To provide a primer for the neuromuscular control scientific community.

Main Methods:

• Utilizing a biomechanical modeling framework to define theoretical muscle activity patterns for motor tasks.
• Comparing theoretical solutions with experimental findings on muscle activity.
• Reviewing prevalent neuromuscular control theories such as optimality, probabilistic principles, and neuromechanical constraints.

Main Results:

• Individuals exhibit structured muscle activity patterns, not spanning the entire theoretical solution space.
• Neuromuscular control appears guided by principles that constrain possible muscle activity solutions.
• Theoretical solutions are refined by experimental data and control theories.

Conclusions:

• Integrating biomechanics, neuroscience, and motor control offers a more comprehensive understanding of voluntary movement.
• Neuromuscular control strategies are likely shaped by optimality and physical constraints.
• Future research should enhance the representation of neural control within biomechanical models.