Internal models and intermittency: a theoretical account of human tracking behavior

Area of Science:

• Neuroscience
• Human Motor Control
• Cognitive Psychology

Background:

• Human movement control involves complex information processing by the central nervous system (CNS).
• Existing theories often focus on either reaction time or continuous tracking tasks, lacking a unified framework.
• Understanding the CNS's internal mechanisms for movement is crucial for fields like robotics and rehabilitation.

Purpose of the Study:

• To test a theoretical model of human CNS information processing during movement control.
• To bridge the gap between reaction time studies and continuous tracking research.
• To derive theoretical predictions for human operator performance in visual pursuit tracking tasks.

Main Methods:

• Utilized tracking studies to evaluate a theoretical account of CNS information processing.
• Proposed a model involving neuronal circuitry for inverse internal models of motor command-consequence relationships.
• Incorporated concepts of movement planning intermittency, internal model inaccuracy, and speed-accuracy trade-off.

Main Results:

• Derived theoretical gain and phase frequency response characteristics for human operators in visual pursuit tracking.
• Demonstrated that the proposed theory can account for experimentally measured tracking behavior.
• Showcased the CNS's use of inverse internal models to transform desired perceptual outcomes into motor commands.

Conclusions:

• The theoretical framework successfully explains human operator performance in visual tracking tasks.
• Movement planning involves intermittent processing, with the CNS completing one plan before initiating another.
• The study highlights the role of inverse internal models and their limitations in human motor control.