Network_Based_Multi_Axial_Cognitive_Framework.pdf

A Three-Axis Framework for Neural Network Organization: From Cognitive Probability Clouds to Clinical Applications

A theoretical framework proposing that neural organization follows three orthogonal dimensions: η (control direction), τ (temporal processing), and α (processing mode). These axes generate eight distinct cognitive probability clouds that exist as probability distributions rather than discrete categories, each operating under finite resource allocation constraints. The probability clouds correspond to specific brain networks and generate ten functionally coherent cognitive streams through systematic anatomical pathways, with cognitive resources continuously redistributed across competing processing demands according to task requirements and pathological states.

The framework introduces resource allocation dynamics with conservation principles: the sum of resource allocation across all probability clouds equals 100% of available processing capacity, creating competitive dynamics where increased activation in one cognitive system necessarily reduces resources available to others. This enables precise clinical predictions, including specific resource allocation patterns for psychiatric disorders (e.g., C2 hyperactivation consuming 40-70% of total resources in major depressive disorder, C1-C3 hyperactivation consuming 60-80% in OCD).

The framework provides testable hypotheses for consciousness research and precision psychiatric interventions through dynamic resource allocation modeling, experimental validation protocols, and biomarker-guided treatment selection. Includes detailed neural mappings, resource competition principles, clinical applications with specific resource allocation dysfunction patterns, and comprehensive experimental validation approaches for measuring cognitive resource allocation in real-time during complex cognitive and emotional tasks.