I have to say that I am uncomfortable with backtracking and resetting when comparing to the biological cortex.
Considering that this model is supposed to be based on what the cortex is doing how is this acceptable?
I expect that the degree of prediction is not arbitrarily long and that the flow of information up and down the hierarchy should be seeding the neighborhood of a column with constantly updated samples of motion and sensation.
Is there anywhere where the model is given a “performance specification” that is based on testable predictions against real cortex?
More plainly - how well do we expect this to work to say that it is like the real thing? We have lots of artifacts in the human neural system that are not what an engineer might say are ideal - could this merging of time sequences be part of how cortex works?