Schumann-Anchored Golden Ratio Organization of Human Neural Oscillations
by Michael Lacy·Updated 3d ago
76.3 KB1files
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Description
Supplementary file 1 by Michael Lacy, last updated June 2, 2026, describes a neuroscience study analyzing the organization of human neural oscillations. The research, based on analysis of 1,366 Schumann Ignition Events and 244,955 oscillatory peaks, proposes a golden ratio (φ) mathematical architecture with a fundamental frequency of 7.6 Hz. The findings were validated across multiple EEG datasets and sessions.
Use Cases
Validate the φ^n mathematical model of neural oscillations based on the described spectral peak depletion and enrichment patterns.
Replicate the analysis of Schumann Ignition Events (SIEs) across different EEG datasets to test the 'independence-convergence paradox'.
Investigate the 'substrate-ignition' model of continuous architectural scaffolds for neural activity using the provided theoretical framework.
Compare spectral parameterization results from single-channel EEG data against the reported eight-position hierarchy including 'inverse nobles'.
Strengths
Analysis is based on a substantial volume of data, including 1,366 transient events and 244,955 oscillatory peaks.
Findings were independently replicated in a separate dataset (EEGEmotions-27) containing 612,990 peaks across 2,342 sessions.
The study reports strong statistical validation, including a Cohen's d of 1.44 and perfect position ordering (Kendall's τ = 1.0).
Limitations
The dataset is a 76.3 KB DOCX file, which is a small supplementary document rather than a primary data repository.
Row count and column-level documentation for any underlying data are unknown, limiting suitability assessment.
Description metadata is limited; actual data quality and structure require manual inspection after download.
Provenance
Source
Michael Lacy, via figshare.
Collection Method
Analysis of EEG data from 91 participants across 661 sessions, using transient event detection and single-channel spectral parameterization.
Freshness
Last updated 2026-06-02 05:39:05; freshness should be verified.
Primary data file is a DOCX document; underlying raw EEG data is not included in this specific 76.3 KB file.