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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-03
DOI
https://doi.org/10.5281/zenodo.18141250
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
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article

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

Claudio Bresciano
Zenodo (CERN European Organization for Nuclear Research)
Functional Brain Connectivity Studies
article

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

Claudio Bresciano
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 98%
Functional Brain Connectivity Studies
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