I am definitely no expert, (i’m actually a Train Conductor lol) but I found both Jeff’s books fascinating, but I would be fibbing if I didn’t say somethings went over my head, so I want to give a metaphor about how I think the 1000 Brian’s theory works and can someone let me know if I am way off base or somewhat close.
So when I think of 1000 Brains Theory I think of a hologram of say a dog, I can move the image around and see a dog at different 3D Orientations . If I were to cut the hologram into a bunch of small pieces, and then look at only one square, I would still have a complete picture of the dog, the information is there but my “field of view” is much smaller, so I would have to really move the square around examining all the details until I can determine it’s a dog. But if I combine all those squares together back to one image, my field of view is large enough that I can see a dog with one look.
So the cut up squares are how I am thinking about each individual cortical column, and then all linking together and “voting” is the entire hologram picture all together. They all have all the data of the dog in each piece but the “field of vision “ is much larger when they are working together.
With that discription, I see the classical “ Hierarchical” structure in play but with these “squares of full objects’ ’ combining features into more abstract data rather than simple features (like basic Neural network would do).
Is this a good way of thinking about things?