I understand 1000 brains theory fully. I get how macrocoolumns build a model of their sensory input by recieving not only a sensory input of their receptor field, but also a copy of a reference frame which gives that sensory input an identity. obviously, a macrocolumn can integrate temporally and spatially to build precise models of its inputs. through propgation of these models and a whole cortical voting brain not only solves the binding problem, but creates unity by accepting a vote within each mental frame. I do also understand, that given the location of these models and their sensory input you may build a model of yourself (refrence frames are your own motor movements and your tactile sensing) or objects (refrence frames are locations on objects through grid cell like stuff in each column or maybe somewhere else).
the part that i am really curious to know is what jeff thinks about how these high resolution models transition to much higher concepts and abstract ideas. of course, one can say hirerarchy (tiny models and their relationships build up through their way to PFC, and form higher order thinking) but every time i truly start to think about higher order thought, I face a block on how the mechanism might work?
I’d love to know jeff’s idea about how exactly this transition happens. His book provide some quick thoughts but he never speculates deep enough. I’d love to know his thinking about the exact mechanism of this transition, even if it’s not fully formed theories yet or at wild conjecture state?