A group of questions based on reading about the two grid-cell models

  1. yes
  2. You need place cells for this, which can identify a room based on a landmark in the room, the grid cell modules “bumps” anchor to the place field. This is ongoing theory, so we don’t have all the answers yet.
  3. Yes, there would be another cell in that “C” minicolumn that represents ABC, but it would not be firing for the EC sequence.
  4. Why grid cells? Because they are observed in experimental neuroscience, and our mission is to understand how intelligence works in our brains, so understanding grid cells seems really important.
  5. It would be modeling an ear of an elephant.
  6. Once you’ve learned an object, you compare incoming sensory input to all the objects you’ve learned, narrowing down until you match the object (5 days from now). You don’t start with the same representation, but you end with it by narrowing down SDR unions through sensory movement in object space until you are left with the object. (related: How does short term memory work? - #10 by Bitking)

I think there is something wrong with this assumption. The layer of cells getting location input can’t make any assumptions about the structure of the layer providing the input. This is a core principle of the Thousand Brains Theory that we talk about. As long as the location layer output is stable (meaning locations are unique given consistent input), that’s all that matters.

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