In conventional neuroscience, memory has been formulated as changes in synaptic connection strength or the transfer of information (copying of data) to the cerebral cortex. However, overcoming the metaphor that regards life as a “computer” computing specific algorithms, and in the paradigm that views the biological system as an “in vivo analog quantum synchronizer (phase synchronizer: Bio-QPU),” the spatial movement or replication of phase information like digital data increases the risk of decoherence due to fatal phase noise (Phase Jitter), and is considered extremely inefficient from the perspective of analog phase tuning resources. In this paper, we redefine the continuity of time and consciousness throughout an individual’s lifetime as the “life code (drive recorder of life)” and formulate memory as “dynamic tagging (provision of a phase index)” carved analogically onto this multi-spectral wave stream. Here, we introduce the concept of “selective decoherence”—where the autonomous analog tuner (Glial OS) uses chemical triggers to sublimate artificial machine errors into a function, granulating only specific dimensions while maintaining background waves—proposing this as a verifiable hypothesis independent of the computer metaphor that underpins human’s highly advanced and flexible memory retrieval capabilities. Furthermore, we model that the resonance adjustment (calibration) of absolute coordinates based on “LUCA’s Theorem (phase synchronization with environmental waves)” during non-REM sleep is a non-destructive and active noise filtering mechanism that selects and resonates tagged synthetic waves from within phase noise, thereby reinforcing the weighting of memory.
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kotoan.gg (2026) studied this question.
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