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Published January 14, 2026 | Version v3
Preprint Open

Golden Ratio Architecture of Human Neural Oscillations

  • 1. Independent Researcher

Contributors

Researcher:

  • 1. Independent Researcher

Description

Since Hans Berger discovered the alpha rhythm in 1929, EEG frequency bands have been defined by empirical observation rather than theoretical principles. We provide large-scale empirical validation of the golden ratio (φ = 1.618) organization theorized by Pletzer et al. (2010), and identify the absolute fundamental frequency f₀ = 7.6 Hz that anchors the φⁿ lattice, with frequencies following f(n) = 7.6 Hz × φⁿ. This architecture manifests as spectral peak depletion at integer n positions (band boundaries) and enrichment at half-integer positions (band centers). The golden ratio's unique mathematical properties—maximal resistance to mode-locking combined with Fibonacci coupling—may represent an optimal solution for balancing neural segregation and integration. These findings empirically validate a mathematically principled basis for EEG band definitions and extend the framework by identifying the absolute fundamental frequency.

Files

Golden_Ratio_Architecture_of_Human_Neural_Oscillations.pdf

Files (6.8 MB)

Additional details

Software

Repository URL
https://github.com/neurokinetikz/schumann
Programming language
Python
Development Status
Active