Sounds to me like you just need a context window with memories that self prune based on the dynamic context window of the model. That's what we do. We forget things, and when they're remembered we can access the "biological database" of associated memories on the fly. Because the associated information isn't deleted, only the short term memory from being included in the context window of each update of our own neural networks. Some people have greater context windows, and see therefore seen as smarter, because they can access more information and include it in the processing of each moment in time.

There's zero reason a digital representation of this system could not do the same thing. No matter how much I'm ridiculed for daring to suggest it 😅