Thank you very much for this opportunity. I received my copy in Germany and as a participant of this forum for over 10 years, I want to pass on my highest compliments to Jeff for this great accomplishment with this book, which recaptures the long path to this great milestone. I fully agree with his assessment that Numenta has now found all the puzzle pieces on the edges, corners and some inner portions of the brains mystery. The framework is now identified. I have two questions I would like to pass on to Jeff:
1.) How is a multi-CC consensus achieved after voting begins? In other words, how is the “invariant” stability reached amongst the voting neurons from each CC? (There is no guarantee they all will always agree, right? They may encounter cognitive dissonance).
2.) Pertaining to learning: If a multiple set of CCs is involved in learning a new object, and each CC is creating an individual model of the same object (i.e. coffee cup), how are all these individually unique models (city maps) in each CC interconnected with each other in such a way, that the same set will be used during inference (perception) so that the voting is based on the same set of models (city maps)? Could this involve some sort of timestamp in episodic memory? (This would allow joint selection during recall). Or is it possible that all the models in the set of CCs are stored in some form of temporal-spatial associative super-structure, encompassing the Thalamus?
I thank you dearly in advance. I want to express my certainty that you have achieved a phenomenal breakthrough, worthy of Dr. Vernon Mountcastle’s admiration.
Your highly motivated follower and community participant,
Joe Anthony Perez