Yes, I see now. You’re both right. Thanks.
Perhaps state space was the wrong terminology. State space sometimes comes with connotations of discrete configurations (e.g. finite state machine). I was trying to distinguish between discrete and continuous variables. I think we have two different ways of representing these concepts in our minds. While each ultimately results in a sparse distributed representation in the brain, I believe the mechanism for navigating between similar items/concepts is different when your are exploring along a continuous range of values as opposed to a discrete set of values. Grid cell modules are good candidates for modeling the former, while some form of auto-associative memory (or displacement modules) might be necessary for the latter. I’ve not thought as much about the discrete case, so I don’t have a good mental model for it yet.
I was attempting to be generic in my descriptions, but I tried to provide a specific example to drive home my points. Hopefully, my intent was clear.
The gist is that it is conceptually very difficult to interpolate between discrete categorical values in the same way that we interpolate along a continuum of values. I believe that there is another mechanism (other than grid cells) that allows us to make those jumps between categories.
I consider the category jump to be accomplished in a manner similar to a context switch or how we transition from one room to another. There’s a moment when you cross the threshold that your frame of reference shifts from one room to the next and the grid cells modules reanchor to the new environment. From that moment on, your perceptions and expectations are all in the context of that new reference frame.