I am enjoying the new book A Thousand Brains. On page 65 we see A model of a cortical column. I have a few questions. How does it learn? What s the learning rule(s). How does the locations level select what basis vectors to use?
How does the observed features level distinguish between feature as observed versus feature as evoked by the locations level. Evolution needs to clearly differentiate between observed and imagined. It lowers your survivability if you are psychotic.
Does Numenta have a software emulation of a cortical column learning?
How can we best implement a cortical column in hardware?
Are white matter connections DNA determined or learned?
I very much agree the smart cortical column is a big step forward. I am looking forward to seeing it used to advance AI.