Memory, Consciousness, and the Trap of Looking for One Thing

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Memory, Consciousness, and the Trap of Looking for One Thing
ref. NAT-LDA is my Neural Adipose Tissue - Lipid Droplet Architecture model of memory.

After a long run of work on NAT-LDA, I've landed on a conclusion that reframes the whole project: Memory doesn't compare to Consciousness by accident — it's the same category of problem. Both words get treated like they name a single natural kind, when really they're umbrella terms slapped over a pile of distinct mechanisms that don't share clean edges.

The parallel
Working memory, consolidation, retrieval, reconsolidation — about as unified under "Memory" as attention, binding, and self-report are under "Consciousness." Define either too tightly and you exclude cases everyone agrees belong. Define it loosely and it stops explaining anything.

No clean seam
Neither concept has a hard inside/outside boundary. There's no moment where "not memory" flips to "memory" — priming, implicit learning, procedural traces all sit in grey territory. Same story with consciousness. That's not sloppy definition-writing. It's probably the actual shape of the phenomenon: continuous, graded, substrate-dependent.

What this means for isolating components
You can isolate a component and get a clean, reproducible result — LTP at a synapse, a consolidation window, a retrieval-cue effect. But stack enough clean components together and you don't get "Memory." You get a pile of components with no principled line telling you where the phenomenon starts and stops. The big picture doesn't resolve with more data — it was never the kind of thing that resolves into one picture.

Where NAT-LDA lands
This isn't "the theory is wrong." It's a resizing. NAT-LDA works better read as a mechanism-level claim about a specific structure and its role — not a unified theory of Memory-with-a-capital-M. Narrower claims are harder to kill and easier to actually test. Chasing a single coherent theory of something that's fundamentally a grab-bag was never going to end anywhere good. Correctly sizing the problem isn't giving up on it.

— dropped here as a record of where the thinking landed, decades in.


Posted at Macadamia 😋:

https://independent.academia.edu/AndrewEgerszegi