I have been reading about neurology and AI related fields since the early 80’s.
At this point I feel that I know the basic overall structure and function of the brain. There are many loose ends that still mystify me but I am close to seeing the end-to-end details of coding a trial AI.
A key point for me is working out how to do the sparse bidirectional many-to-many connections (dendrite to axon) matrix with a plausible local inhibition in an efficient method that will fit in modern hardware.
I have collected many of conclusions of ~35 years of informal study in this thread. I would estimate that this thread captures roughly 50% of the ideas that I will try to roll into my model: