Another thought : I think there is more to what I am after than just Calvin grids. I saw them as a mean (and it seemed like a pretty good one at that) to achieve stability somewhere. But the core idea is mostly the coercion derived from it.
Pardon my brainstorming here :
So the griddy ‘boss’ is in essence situated on a layer towering the messy bits, as hinted by @sunguralikaan. The coercion it provides is in deciding that his dominion shall learn without a revolution. Because the boss layer output is itself part of what “the messy bits” process. Such that… when it refuses to change, they need to work out a “meaning” (learn towards prediction) from other clues, without any change in its own signal… thus increasing the chance that they’ll indeed wire on pertinent t-1 channels if processing a temporal sequence. All such context shall be indifferently available for distal wiring.
In turn, it sends basal input to higher module “messy bits”, and send apical feedback to lower-module “boss”.