A theory on the control of arbitrary movements

Area of Science:

• Motor Control
• Neuroscience
• Biomechanics

Background:

• Human arbitrary movements require complex neural control.
• Existing models may not fully capture the integration of planning and execution.

Purpose of the Study:

• To propose a novel theory for human arbitrary movement control.
• To outline a schema for information flow and operations in motor control.
• To explain the derivation of control signals from intended movements.

Main Methods:

• A theoretical schema for movement control is presented.
• Movement production is analyzed through successive steps.
• Imagined movements are decomposed into spatial trajectory and intensity course.

Main Results:

• A special coding related to muscle lengths is proposed for spatial trajectories.
• Static and dynamic control signals are derivable from this coding.
• Afferent and efferent signals share a common encoding, simplifying movement evaluation and correction.

Conclusions:

• The proposed schema allows for abstract functioning at higher control levels, supported by feedback mechanisms.
• Peripheral properties can be integrated into control signal generation.
• The theory offers a framework for understanding human motor control and its principles.