The Prince Transform A Wave-Mechanical Framework for EEG and Seizure Prediction Derived from λp = h

The Paradigm Shift: From Infinitesimals to Geometry Standard digital EEG relies on the Fourier Transform, which treats neural signalsas a statistical average of independent, additive sine waves mapped ontohuman-invented coordinate backgrounds Nature does not use smooth calculus limits (dx → 0). The secant lines nevercollapse into tangents. The space is built up of finite discrete structuralincrements Continuous space is an approximation: Quantization is the fundamentalreality.Background Independence: The brain is a dynamic vector lattice carryingits own rulers, governed strictly by the de Broglie relation

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-27
DOI
https://doi.org/10.5281/zenodo.23703694
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
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article

The Prince Transform A Wave-Mechanical Framework for EEG and Seizure Prediction Derived from λp = h

Mustafa Khan
Zenodo (CERN European Organization for Nuclear Research)
EEG and Brain-Computer Interfaces
article

The Prince Transform A Wave-Mechanical Framework for EEG and Seizure Prediction Derived from λp = h

Mustafa Khan
article en

Abstract

The Paradigm Shift: From Infinitesimals to Geometry Standard digital EEG relies on the Fourier Transform, which treats neural signalsas a statistical average of independent, additive sine waves mapped ontohuman-invented coordinate backgrounds Nature does not use smooth calculus limits (dx → 0). The secant lines nevercollapse into tangents. The space is built up of finite discrete structuralincrements Continuous space is an approximation: Quantization is the fundamentalreality.Background Independence: The brain is a dynamic vector lattice carryingits own rulers, governed strictly by the de Broglie relation

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 14%
EEG and Brain-Computer Interfaces
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