Schumann-Anchored Golden Ratio Organization of Human Neural Oscillations

A 2026 dataset by Michael Lacy, shared under CC-BY-4.0, presents evidence for golden ratio (φ) mathematics in human neural oscillations. It aggregates findings from two complementary studies analyzing 1,366 Schumann Ignition Events and 244,955 oscillatory peaks across 968 EEG sessions. The data supports a model where neural frequencies follow a φⁿ architecture anchored to a fundamental frequency of 7.6 Hz.

Use Cases

• Validate the φⁿ frequency scaling model based on reported spectral peak depletion and enrichment patterns.
• Analyze the 'independence-convergence paradox' using the reported transient event data.
• Investigate cross-band adherence patterns, particularly in the gamma band, as mentioned in the description.
• Replicate the spectral architecture analysis using the described parameterization framework.

Strengths

• Data is derived from two independent methodological approaches (transient event detection and spectral parameterization) that converged on identical conclusions.
• Includes validation from an independent replication dataset (EEGEmotions-27) with 612,990 peaks across 2,342 sessions.
• Reports strong statistical support, including a Cohen's d of 1.44 and p < 0.0001 for null controls.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 1.3 MB file size suggests a relatively small dataset, potentially limiting the scope of analysis.

Provenance

Source

Michael Lacy via figshare

Collection Method

Analysis of EEG data from multiple sessions and devices, including Schumann Ignition Events and spectral peak parameterization.

Freshness

Last updated 2026-06-02 05:39:04.