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ZENODO
Preprint . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Emergence-Based Neural Information Storage Theory: A New Paradigm Proposal

발현 기반 신경 정보 저장 이론: 새로운 패러다임의 제안
Authors: Byeon, Yongsik;

Emergence-Based Neural Information Storage Theory: A New Paradigm Proposal

Abstract

his paper proposes a new theoretical framework for information storage and retrieval mechanisms in the nervous system. Unlike conventional neuroscience, which regards synaptic plasticity as the primary mechanism of information storage, this theory proposes that neurons themselves are independent information storage units, while synapses serve as communication pathways and reference priority managers. The theory is based on three core observations: (1) distinct change patterns observed in the cell membrane and cell interior at the single-neuron level, (2) the isolation problem in the absence of synaptic connections, and (3) the physical necessity of surface placement for efficient information processing. This framework provides an explanatory system that is compatible with biological observations yet distinct from existing interpretations. The theory also connects to AI hardware architecture patents currently under application (domestic and PCT international filing in progress). Keywords: neural information storage, neuron independence, emergence mechanism, synapse reinterpretation, cell membrane-cytoplasm separated storage

Keywords

memory, synaptic plasticity, learning, synapse, cognitive science, neural information storage, emergence, neuron, long-term potentiation, one-shot learning, computational neuroscience

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green