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Normalized for Mintlify from knowledge-base/neurigraph-memory-architecture/research-the-correlations-between-synapses-synapse-firing-and-neuroplasticity-and-whether-or-not-these-cognitive-functions-have-parallels-in-the-knowledge-graph-structure.mdx.
Okay, so my basic idea here is to find out what the similarities are between the layout of synapses in the brain: how exactly they fire together, what happens when certain synapses fire together, how this impacts neuroplasticity, and how this strengthens long-term memory or skills and experiences. I need to assess whether or not those same cognitive capabilities that humans have in their brains can be mimicked in the current graph architecture. When I think of the synapses and neurons, it kind of reminds me of the knowledge graph anyway. I’m wondering if I can modify the initial structure and functionality of the knowledge graph to align more closely to the way synapses and neurons already work in the brain, without having to create an entire neural network like what LLMs are currently built on, which I find to be completely messy and just chaotic.
Last modified on April 20, 2026