Computational simulation study demonstrates coupled multiphysics and modal entrainment in developing neural tissue models, indicating bioelectric and metabolic guidance of cortical folding.
This repository contains the manuscript, simulation code, and structured data artifacts for "Developmental Harmonic-Topological Entrainment in Growing Neural Tissue: A Coupled In-Silico Atlas of Geometry, Folding, Electrical/Calcium Dynamics, Metabolism, and Hopf-Compatible Phase Structure." Overview This computational working paper establishes a stage-resolved framework to test whether self-organizing neural matter is shaped by the coupled interactions of time-evolving domain geometry, differential growth mechanics, excitable electrical/calcium dynamics, mitochondrial-metabolic feedback, and complex phase topology. Rather than treating brain harmonics as a static, adult-only phenomenon or assigning sole causality to mechanics, the project synthesizes these layers across four numerical investigations and an integrated developmental atlas: Cranial Proxy Modal Mixing: Analyzes scalar Laplace-Beltrami eigenmodes within skull-shaped geometries, demonstrating territory formation and coherent web-like nodal interference. Coupled Developmental Surface Model: Demonstrates how metabolic and electrical/calcium activity fields modulate the timing and spatial placement of cortical folding instabilities without replacing mechanical differential growth. Topological Fibration Testing: Distinguishes visual nodal loops from true Hopf topology, demonstrating that while unseeded harmonic fields possess near-zero Hopf charge, an explicitly phased Hopf state is efficiently captured by a low-order cranial basis (99.95% charge retention and pairwise Gauss linking ≈ 1). Hyperspherical Sweep & Atlas Synthesis: Evaluates harmonic spectra across unit spheres S²–S⁸ (including classical Hopf dimensions 2, 4, 8) and introduces a scored, gate-controlled Developmental Entrainment Atlas ranking stage-eligible spatial sequences, nested carriers (e.g., 13–20 Hz metabolic windows), and ultradian-to-network envelopes across developmental time.
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Daniel Alexander Trawin (2026) studied this question.
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