"Electromagnetic Field Model of Global Neural Synchronization and Consciousness"

This paper presents an electromagnetic field model of global neural synchronization, exploring its potential role in consciousness phenomena. Using an extended Kuramoto framework with additional global coupling terms, we demonstrate through numerical simulations that weak electromagnetic interactions can enhance phase coherence (R = 0.61 ± 0.04) across neural populations. The model achieves stable synchronization with parameters λ = 0.9 and G = 0.015, suggesting that long-range field effects may complement local synaptic connectivity in enabling large-scale neural integration. These results provide a mathematically rigorous foundation for field theories of consciousness while remaining grounded in biophysical principles. The framework bridges computational neuroscience with electromagnetic field theory, offering testable predictions for experimental validation through EEG/MEG measurements.

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Publication Details

Published
2025-10-14
DOI
https://doi.org/10.31234/osf.io/b4gdw_v1
Primary Topic
Cognitive Science and Education Research
Type
article
Field-Weighted Citation Impact
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article

"Electromagnetic Field Model of Global Neural Synchronization and Consciousness"

Zoran Alic
Cognitive Science and Education Research
article

"Electromagnetic Field Model of Global Neural Synchronization and Consciousness"

Zoran Alic
article en

Abstract

This paper presents an electromagnetic field model of global neural synchronization, exploring its potential role in consciousness phenomena. Using an extended Kuramoto framework with additional global coupling terms, we demonstrate through numerical simulations that weak electromagnetic interactions can enhance phase coherence (R = 0.61 ± 0.04) across neural populations. The model achieves stable synchronization with parameters λ = 0.9 and G = 0.015, suggesting that long-range field effects may complement local synaptic connectivity in enabling large-scale neural integration. These results provide a mathematically rigorous foundation for field theories of consciousness while remaining grounded in biophysical principles. The framework bridges computational neuroscience with electromagnetic field theory, offering testable predictions for experimental validation through EEG/MEG measurements.

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Cognitive Science and Education Research
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