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