Thank you for your reply, and the excellent video on temporal memory.
I apologize for the mix-up of terms. (I used ‘active’ where it should have been predictive, and ‘fired’ where it should have been active)
Oh, not the entire column becomes active, only the cells that were in a predictive state.
But the input always makes the entire column become active, because it is connected to the column and not individual cells in the column, right? That seems contradictory.
Does the entire column being activated by the input not imply the same consequences as bursting? An active column is an active column, so active cells in the column should act the same way unless another mechanism acts on them. I can see the cell in a predictive state acting differently, but not why the cells in an unpredicted state would act differently than if the column was bursting.
To make it logically sound, either a mechanism should prevent cells other than the predicted one becoming active, or something should prevent other active cells in the column to instigate a predictive state.
I could be off. Thanks for your patience. 