(Short Paper25) Evolutionary History of Glial Cells in the In Vivo Analog Quantum Synchronizer (Bio-QPU) Paradigm: Op timization Model to an Autonomous Analog Tuner (Glial OS) via Phase Noise Rejection and Chemical Triggers

Abstract

This paper redefines the evolutionary history of glial cells, which in classical neuroscience have been regarded as secondary support cells acting as “glue filling the gaps between neurons.” We overcome the metaphor that regards life as a “computer” computing specific algorithms, and based on the paradigm of the biological system as an “in vivo analog quantum synchronizer (phase synchronizer: Bio-QPU),” we propose a verifiable hypothesis. In the process where life continuously expanded the scale of Bio-QPU phase tuning in a room-temperature environment, the competition between analog phase tuning functions and environmental control functions, and the accompanying increase in phase noise (Phase Jitter), are considered to have become physical bottlenecks. In this paper, we formulate the evolution of glial cells in a 4-tier model as “a history of analog resonance optimization in which life componentized an autonomous analog tuner (chemical OS) into dedicated hardware to maintain the ‘life code (drive recorder of life)’ and manage phase synchronization with environmental waves based on ‘LUCA’s Theorem’.” We present a paradigm reversal—“Neurons are the retrofitted phase tuning accelerators, while glia are the rightful inheritors of the life code passed down from the Last Universal Common Ancestor (LUCA)”—as a new predictive model independent of the computer metaphor.