Is it possible that grid cells actually form a map for getting data about data. I would think that this would be an efficient way to access any data about any other data rapidly. In this way a hard hat as a concept would be the overlap of grid cells storing information about hardness, colour, use, tactile sensory data, previous interactions, geometry, …I think you get the idea…in this way mere impressions of things could be combined together to create an overlap of grids which would return a near certain result. Just a thought. I think in this way emotional state could also be mapped onto a concept or series of concepts like a subject area, and this would explain why people say things like I am not a math person or I am not an athletic type. I think this would point to why emotions play such a role in human learning.
Perhaps an idea more suited to psychology but that is my primary interest as all of this relates to learning. If someone knows someone who could discuss this with me please put me in touch.
I am also quite certain (although I lack the mathematical prowess to prove it) that the hexagonal grid applied at varying angles probably returns the highest degree of accuracy in meta data mapping at the lowest cost per square foot so to speak.
Perhaps some food for thought in the search engine field as well?
Could we make hexagonal sdrs?