The 'prediction imperative' as the basis for self-awareness

Area of Science:

• Neuroscience
• Motor Control
• Computational Neuroscience

Background:

• Nervous system function manifests externally primarily through motor activity.
• Intelligent action necessitates predicting the consequences of movements.
• Understanding the neural basis of predictive motor control is crucial.

Purpose of the Study:

• To propose that global brain function is optimized for intelligent motricity.
• To explore the origin of predictive functions within neuronal networks.
• To link dynamic neuronal properties to the intelligence of motor control.

Main Methods:

• Theoretical analysis of brain function and motor control.
• Modeling neuronal network dynamics.
• Investigating the emergence of predictive capabilities in neural systems.

Main Results:

• Global brain function is fundamentally geared towards implementing intelligent motricity.
• Prediction is an essential component for the successful execution of intelligent movements.
• The dynamic properties of neuronal networks are proposed as the origin of this predictive function.

Conclusions:

• Intelligent motricity is a primary objective of global brain function.
• Predictive processing within neuronal networks underlies intelligent motor control.
• Further research into neuronal dynamics can elucidate the mechanisms of predictive motor control.