Yes, totally. But, that's precisely what we have to change (and what a few groups are working on, including mine): our credit assignment models need to start making physiological predictions that can be falsified. 
I think a good example. So we have BP (backprop) and BP (belief propagation). Vicarious seems to like the latter. And people know to search for this in large scale cortical experiments, e.g., many of the IARPA MICRONS proposals centered on this in 2015 or so.
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Sure, I mean, I picked that as an example because I know it's Xaq's favorite theory of how cortex works (and Pearl himself was inspired by Rumelhart's speculation about neuroscience).
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But I think it also shows that there are so many possible ways that an optimization could be implemented, that it seems inconceivable that we could actually pin down conclusively how the brain is doing it (and there is surely more than one way).
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