No real need for the snark; if we dismiss the notion of human divinity and look at ourselves as broadly fixed macro-structure computational machines (like any other broadly deterministic machine) similar signals propagating over the same sets of sub-computers will generally (accepting the undetectable, such as steganographically hidden homomorphic compute contexts) be reflective of similar underlying operations.
If I were to imagine a warrior, and his general perception of the colour red, I may find the way his brain processes the colour more closely to a rival warrior than his wife the gardener.
A real world example; London taxi drivers and bus drivers show distinct patterns of changes to the hippocampus.
The way that the mapping data is stored will be heavily bias towards being spatially reflective of the real world counterpart.
Note the bias will be towards a degree structural isomorphism, one internal 2D + 1T spatiotemporal surface map of the city might be a rotation and/or reprioritisation of another - but they will have a shared basis (convergent compute simulations of biased subsets of the same real world structures), and when navigating from point A to point B, the path and nature(though not the propagation vector) of the electrical activity of both will be reflection of the same real-world surface map.
Now I say spatiotemporal - because the driver going from A to B in the morning will develop different expectations of the levels of traffic at different parts of the journey.