Priors and proprioceptive predictions.

Area of Science:

• Neuroscience
• Motor Control
• Computational Neuroscience

Background:

• The Equilibrium Point Hypothesis offers a framework for understanding motor control.
• Existing models often focus on efference copy rather than predictive processing.

Purpose of the Study:

• To present an active inference approach to motor control based on proprioceptive predictions.
• To explore how the brain generates these predictions and implements motor commands.

Main Methods:

• Review of the Equilibrium Point Hypothesis and active inference principles.
• Analysis of control-theoretic perspectives on reflexes as feedback loops.
• Examination of neurobiological substrates for predictive computations.

Main Results:

• Motor commands are conceptualized as proprioceptive predictions.
• Reflexes function as closed feedback loops regulated by predicted sensory consequences.
• Key elements generating predictions include prior beliefs, temporal structure, and predictive confidence.

Conclusions:

• The corticospinal, cerebellar, and extrapyramidal systems are implicated in generating and utilizing proprioceptive predictions for motor control.
• This framework offers a unified view of motor planning and execution through predictive processing.