Our Brains Use Binary Logic, Say Neuroscientists (sciencedaily.com)
"The brain's basic computational algorithm is organized by power-of-two-based logic," reports Sci-News, citing a neuroscientist at Augusta University's Medical College.
hackingbear writes:
He and his colleagues from the U.S. and China have documented the algorithm at work in seven different brain regions involved with basics like food and fear in mice and hamsters. "Intelligence is really about dealing with uncertainty and infinite possibilities," he said. "It appears to be enabled when a group of similar neurons form a variety of cliques to handle each basic like recognizing food, shelter, friends and foes. Groups of cliques then cluster into functional connectivity motifs to handle every possibility in each of these basics. The more complex the thought, the more cliques join in."
It starts out obvious, but then factors like conduction speed, receptor sensitivity, calcium channel recharge rates, etc. etc. all factor in to make a "wet" neural network quite a bit more complex and nuanced than an electronic network of NAND gates.
One of the open questions in "brain replication" is: can you get the same end result without the delays, varying sensitivity, numbing from multiple firing, etc.?
OP seems to be saying that they think the hierarchy is using binary structures, but not that the firing/not firing is a simple 0 or 1 condition.