Target of brain activity: its own critical point

Area of Science:

• Neuroscience
• Theoretical Physics
• Complex Systems

Background:

• The brain regulates bodily functions and its own activity.
• Understanding the brain's self-regulation set-point is a key challenge.
• Existing models do not fully capture the brain's self-regulatory mechanisms.

Purpose of the Study:

• To propose a novel model for the brain's self-regulation set-point.
• To explore the concept of physical criticality as a model for brain self-regulation.
• To connect physical dynamical scaling and phase transitions to neurological concepts.

Main Methods:

• Theoretical modeling approach.
• Drawing parallels between physics concepts (criticality, dynamical scaling, phase junctions) and brain function.
• Interpreting established neurological doctrines (Hughlings Jackson's levels, stable lability of will) within the proposed framework.

Main Results:

• The "critical" state in physics offers a potential model for the brain's self-regulation set-point.
• Dynamical scaling in physics corresponds to Hughlings Jackson's doctrine of levels.
• Marginal phase junctions in physics relate to the concept of stable lability of the will.

Conclusions:

• The brain's self-regulation may be modeled using principles from the physics of critical states.
• This theoretical framework provides new perspectives on brain function and consciousness.
• Further research is needed to empirically validate this model.