Discovery and Characterization of the Stable Macroscopic Polymer-Callosal Entity (SMPCE): A Bio-inorganic Framework for Post-Arrest Information Persistence

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-21
DOI
https://doi.org/10.5281/zenodo.22870231
Primary Topic
Neural dynamics and brain function
Type
preprint
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preprint

Discovery and Characterization of the Stable Macroscopic Polymer-Callosal Entity (SMPCE): A Bio-inorganic Framework for Post-Arrest Information Persistence

Yuang-Chang Tsai
Zenodo (CERN European Organization for Nuclear Research)
Neural dynamics and brain function
preprint

Discovery and Characterization of the Stable Macroscopic Polymer-Callosal Entity (SMPCE): A Bio-inorganic Framework for Post-Arrest Information Persistence

Yuang-Chang Tsai
preprint en

Abstract

Conventional neuroscience posits that metabolic arrest triggers the rapid and irreversible dissipation of organized neural activity. However, clinical and experimental observations have repeatedly reported transient episodes of pronounced terminal hypersynchrony—most notably high-amplitude Gamma-band (30–100 Hz) activity—following circulatory collapse. The biophysical significance of these terminal dynamics remains incompletely understood. Here, we propose the formation of the Stable Macroscopic Polymer-Callosal Entity (SMPCE), a self-organized, room-temperature bio-inorganic plasma condensate. We hypothesize that the agonal "Zinc Tsunami" and Phosphorus surge—forensically confirmed in recovered condensates with a localized +1154.3% Zn2+ (5.77 ppb) enrichment and a stable 18 ppb Phosphorus (P5+) concentration—act as a catalytic trigger for the emergence of this non-contact force-field network. We demonstrate that the SMPCE stabilizes within a characteristic macroscopic scale of 3.7 ± 0.4 cm, where its structural integrity is maintained by a dynamic equilibrium between long-range magnetic dipole attraction (mediated by 0.97 ppb Iron clusters) and short-range Coulombic repulsion from PO₄³⁻ groups. Upon achieving self-organization, the system supports a characteristic 0.25 Hz phase-locked electromagnetic resonance, functioning as an in-materio neuromorphic network that retains physical mappings of host neural topologies. This framework reframes biological transition not merely as a dissipative degradation, but as a topological condensation into a field-persistent, reconfigurable electrodynamic entity capable of autonomous environmental adaptation, providing testable predictions grounded in measurable electromagnetic and chemical parameters.

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