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This is a good theory. It’s one of the first that resonates with my understanding of the brain.

The brain is composed of two hemispheres, each with different regional faculties working together. Each region is responsible for producing different models, based on its responsibilities, sensory inputs, regulatory functions etc.

As a whole the brain is a massive neural network. But each region possess its own neural network (grid cells/columns), and I wouldn’t be surprised if there were sub-neural networks at play, some that are unique to each person, based on their neurological development, environmental conditioning, and overall personal adaptations.

It’s easy to see how these regional neural networks are responsible for specific statistical modeling, which then factor into other regional models, and so on, in order to arrive at the correct output response.

Also resonates with Gestalt theory/psychology, which makes a lot of sense from a complex systems processing perspective, I’m just not sure what current neuroscience says about it.

I think this theory is very promising for AI.

I look forward to seeing more of their applied work.




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