Macroscale Wave Topologies, Biophysical Impedance Matching and Epigenetic Chromatin Sculpting

Engineering notes

Key topics: autonomous driving, prediction, control. See the paper for implementation details and experimental results.

Chinese explanation / 中文解读

中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

Modern psychology, cognitive science, and psychiatry remain bound to a dualistic, neo-empiricist paradigm that treats the telencephalic cortex as a passive computational engine (a tabula rasa). This perspective has culminated in the Bayesian Brain Hypothesis (Predictive Processing) and symbolic models of Theory of Mind (ToM)—frameworks that rely on abstract software-layer concepts such as "mentalizing modules," "prior beliefs," and "probabilistic computations." Because these models lack a direct, non-teleological mechanism to explain physical information routing, they must smuggle an intellectual homunculus into the nervous system to act as an executive clerk. This monograph presents a radically physicalist alternative rooted in non-equilibrium biophysics, macroscale electrodynamics, and topological neuroscience: the Geometric Wave Engine Framework. We demonstrate that the brain is a closed, multi-scale geometric system whose structural constraints—cranium boundaries, cortical laminae, and anisotropic white-matter connectome tracks—force intrinsic metabolic energy to organize into a pre-configured matrix of standing waves. This matrix functions as a structural, spatial band-pass filter—a Topological Sieve—that rejects wide-spectrum environmental noise via high electrical impedance and destructive interference, while capturing matching environmental wavefronts through geometric resonance. To solve the dynamic routing problem, we introduce the Subcortical Neuromodulatory Equalizer Matrix, detailing how Acetylcholine (), Dopamine (), Noradrenaline (), and Serotonin () act as dynamic biophysical impedance transformers, phase damping controls, and thermal surface-tension modifiers operating via autonomous closed-loop feedback (e.g., temporal difference prediction error loops and hippocampal phase interference sensors). By detailing how these resonant fields collapse into localized, high-torque Phase Singularities (Spiral Wave Vortices), we establish a direct physical pathway from macroscale wave topologies down to sub-molecular structural changes. These rotating vortex fields apply direct electrostatic torque to voltage-gated receptor protein arrays (the Pin Art Frame acting through a Child's Shape Sorter Biophysical Band-Pass Filter), driving hyper-localized calcium gradients that recruit intracellular histone acetyltransferases (HATs) to physically uncoil the chromatin spool. Wrapped and clamped by a condensing GABAergic parvalbumin () perineuronal net () matrix, these physical alterations form permanent, low-impedance attractor basins that govern human behavioral praxis without programmatic computation. Finally, this framework is weaponized to dismantle the foundational assumptions of cognitive individualism. We redefine Simon Baron-Cohen’s software-based model of autism not as a "mindblindness" deficit, but as a biophysical state of Hyper-Resonant Wave Capture driven by a prematurely condensed, hyper-segregated lattice that violently traps incoming environmental wave fields in localized cortical vortices. Conversely, empathy is rescued from symbolic simulation modules and reconstructed as an electrodynamic field invariant driven by direct cross-agent phase-amplitude coupling. This work provides an unassailable physicalist foundation that eliminates the computational myths of psychology and establishes thought as a direct consequence of cortical spacetime geometry.

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