Mathematical Formulation of the HULYAS Field Dynamics for Biological Systems

The HULYAS framework introduces a pioneering mathematical model for oscillatory dynamics in biological systems, centered on a scalar field phi(x,t) governed by a fundamental frequency of 1.287 Hz. This framework is the first to mathematically integrate cardiac, neural, and mitochondrial dynamics into a unified model, producing precise harmonic solutions at 1.000 Hz for cardiac rhythms and 39.897 Hz for neural oscillations, alongside energy scales of approximately 10^-19 J (cardiac, mitochondrial) and 10^-20 J (neural). The model is defined by the master partial differential equation Box phi - mu^2 phi + sum C_k(phi) = J, where mu^2 = 10^-20 J^-1 m^2 and J(x,t) is a source term in J m^-3. Coupling terms are rigorously derived: C_k(phi) = 10^-20/k! phi^k, with k=6 for cardiac dynamics (based on hexagonal lattice symmetry to ensure stable limit cycles), k=5 for neural dynamics (derived from odd-powered polynomial potentials to model spike-like solutions), and k=1 for mitochondrial dynamics (reflecting linear response for energy transfer). The base solution phi(t) = phi_0 exp(1.287 t) generates harmonics, with the cardiac mode achieving 1.000 Hz via subharmonic division (1.287/1.287) and the neural mode yielding 39.897 Hz through harmonic multiplication (31 * 1.287). A 0.103 Hz discrepancy in the neural frequency (0.26% error relative to 40 Hz) is addressed by proposing a cubic term g phi^3 to account for higher-order nonlinear effects. The framework provides a verification protocol using finite-difference methods with a timestep <= 0.001 s, applied to systems with masses 10^-12 kg (cardiac) and 10^-15 kg (neural), and initial conditions phi = 10^-19 J (cardiac) or 10^-20 J (neural). An experimental protocol is included, involving application of a 1.287 Hz electromagnetic field (10^-6 T, 30 minutes) to bovine heart mitochondria, with ATP production measured via luciferase assay in triplicate, compared to no-field and 2 Hz controls. This model aligns with biological frequency ranges (0.8–1.2 Hz for cardiac, 30–100 Hz for neural) and energy scales, offering a robust, self-consistent dynamical system for mathematical biophysics. Shared under a Creative Commons license, the HULYAS framework invites researchers to test and extend its applications, advancing the quantitative understanding of complex biological oscillations.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-15
DOI
https://doi.org/10.5281/zenodo.15915102
Primary Topic
stochastic dynamics and bifurcation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mathematical Formulation of the HULYAS Field Dynamics for Biological Systems

Zenodo (CERN European Organization for Nuclear Research)
stochastic dynamics and bifurcation
article

Mathematical Formulation of the HULYAS Field Dynamics for Biological Systems

article en

Abstract

The HULYAS framework introduces a pioneering mathematical model for oscillatory dynamics in biological systems, centered on a scalar field phi(x,t) governed by a fundamental frequency of 1.287 Hz. This framework is the first to mathematically integrate cardiac, neural, and mitochondrial dynamics into a unified model, producing precise harmonic solutions at 1.000 Hz for cardiac rhythms and 39.897 Hz for neural oscillations, alongside energy scales of approximately 10^-19 J (cardiac, mitochondrial) and 10^-20 J (neural). The model is defined by the master partial differential equation Box phi - mu^2 phi + sum C_k(phi) = J, where mu^2 = 10^-20 J^-1 m^2 and J(x,t) is a source term in J m^-3. Coupling terms are rigorously derived: C_k(phi) = 10^-20/k! phi^k, with k=6 for cardiac dynamics (based on hexagonal lattice symmetry to ensure stable limit cycles), k=5 for neural dynamics (derived from odd-powered polynomial potentials to model spike-like solutions), and k=1 for mitochondrial dynamics (reflecting linear response for energy transfer). The base solution phi(t) = phi_0 exp(1.287 t) generates harmonics, with the cardiac mode achieving 1.000 Hz via subharmonic division (1.287/1.287) and the neural mode yielding 39.897 Hz through harmonic multiplication (31 * 1.287). A 0.103 Hz discrepancy in the neural frequency (0.26% error relative to 40 Hz) is addressed by proposing a cubic term g phi^3 to account for higher-order nonlinear effects. The framework provides a verification protocol using finite-difference methods with a timestep <= 0.001 s, applied to systems with masses 10^-12 kg (cardiac) and 10^-15 kg (neural), and initial conditions phi = 10^-19 J (cardiac) or 10^-20 J (neural). An experimental protocol is included, involving application of a 1.287 Hz electromagnetic field (10^-6 T, 30 minutes) to bovine heart mitochondria, with ATP production measured via luciferase assay in triplicate, compared to no-field and 2 Hz controls. This model aligns with biological frequency ranges (0.8–1.2 Hz for cardiac, 30–100 Hz for neural) and energy scales, offering a robust, self-consistent dynamical system for mathematical biophysics. Shared under a Creative Commons license, the HULYAS framework invites researchers to test and extend its applications, advancing the quantitative understanding of complex biological oscillations.

Zenodo (CERN European Organization for Nuclear Research)
Affordable and clean energy
Openalex Percentile: Top 57%
stochastic dynamics and bifurcation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.