TNA in Neuroscience: Throughput, Incoherence, and the Structural Basis of Neural Stability

The human brain is traditionally modeled as an information-processing device governed by synaptic plasticity, network dynamics, and neurochemical modulation. This paper proposes an alternative framework based on the Theorem of Axiomatic Necessity (TNA), viewing the brain as an open non-equilibrium system where neural coherence requires continuous throughput (Ψ) to discharge incoming incoherence (G). When G exceeds Ψ, accumulated incoherence (ℵ) leads to functional collapse, manifesting as neurodegenerative diseases, psychiatric disorders, or cognitive fatigue. Empirical phenomena—from Alzheimer's plaque accumulation to depression-related rumination—are reframed as throughput saturation rather than primary deficits. The model is falsable, predictive, and compatible with existing neuroscientific data, offering a unified explanation for neural persistence and failure.