Toward a Field-Depth Model of Physiological Coherence

How does the body maintain large-scale physiological coordination across countless interacting systems operating simultaneously? This paper explores the possibility that certain forms of biological organization may be more naturally interpreted through coherence relationships extending beyond purely localized anatomical structure. Building upon earlier work on distributed physiological coordination and coherence-based systems organization, the present study introduces field-depth (ζ) as a non-spatial organizational coordinate for describing relative coherence positioning, projection-dependent stabilization, and large-scale physiological integration. The framework does not propose new anatomical structures, hidden dimensions, or unknown physical forces. Instead, it investigates whether concepts such as coherence geometry, distributed synchronization, and layered organizational stability may provide useful interpretative tools for understanding complex physiological regulation across multiple interacting scales. Particular attention is given to the relationship between localized anatomy, distributed physiological coherence, oscillatory synchronization, adaptive regulation, cognition, emotional state integration, and projection-dependent organization within living systems. The work is intentionally exploratory and hypothesis-generating. Its purpose is not to replace established physiology, neuroscience, or biomechanics, but to examine whether a broader coherence-oriented systems perspective may contribute to future investigations of large-scale biological organization. This preprint forms part of an ongoing series of Field Matrix (FM) studies exploring coherence geometry, field-depth organization, distributed stabilization, and the emergence of complex structure within both physical and biological systems.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-19
DOI
https://doi.org/10.5281/zenodo.20284567
Primary Topic
Neural dynamics and brain function
Type
preprint
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preprint

Toward a Field-Depth Model of Physiological Coherence

Henrik Nilsson
Zenodo (CERN European Organization for Nuclear Research)
Neural dynamics and brain function
preprint

Toward a Field-Depth Model of Physiological Coherence

Henrik Nilsson
preprint en

Abstract

How does the body maintain large-scale physiological coordination across countless interacting systems operating simultaneously? This paper explores the possibility that certain forms of biological organization may be more naturally interpreted through coherence relationships extending beyond purely localized anatomical structure. Building upon earlier work on distributed physiological coordination and coherence-based systems organization, the present study introduces field-depth (ζ) as a non-spatial organizational coordinate for describing relative coherence positioning, projection-dependent stabilization, and large-scale physiological integration. The framework does not propose new anatomical structures, hidden dimensions, or unknown physical forces. Instead, it investigates whether concepts such as coherence geometry, distributed synchronization, and layered organizational stability may provide useful interpretative tools for understanding complex physiological regulation across multiple interacting scales. Particular attention is given to the relationship between localized anatomy, distributed physiological coherence, oscillatory synchronization, adaptive regulation, cognition, emotional state integration, and projection-dependent organization within living systems. The work is intentionally exploratory and hypothesis-generating. Its purpose is not to replace established physiology, neuroscience, or biomechanics, but to examine whether a broader coherence-oriented systems perspective may contribute to future investigations of large-scale biological organization. This preprint forms part of an ongoing series of Field Matrix (FM) studies exploring coherence geometry, field-depth organization, distributed stabilization, and the emergence of complex structure within both physical and biological systems.

Zenodo (CERN European Organization for Nuclear Research)
Learning Through an Expanded Arts Program (US)
Neural dynamics and brain function
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