Ultimately you need only a tiny fraction of that data to emulate the human brain.
I am curious how that conclusion was formed as we have only recently discovered many new types of functional brain cells.
While I am not saying this is the case, that statement sounds like it was based on the “we only use 10% of our brain” myth, so that is why I am trying to get clarification.
Not taking a position on this, but I could see a comparison with doing an electron scan of a painting. The scan would take an insane amount of storage while the (albeit ultra high definition) picture would fit on a Blu-ray.
Oh I’m not basing that on the 10% mumbo jumbo, just that data capture usually over captures. Distilling it down to just the bare functional essence will result in a far smaller data set. Granted, as you noted, there are new neuron types still being discovered, so what to discard is the question.
I am curious how that conclusion was formed as we have only recently discovered many new types of functional brain cells.
While I am not saying this is the case, that statement sounds like it was based on the “we only use 10% of our brain” myth, so that is why I am trying to get clarification.
Not taking a position on this, but I could see a comparison with doing an electron scan of a painting. The scan would take an insane amount of storage while the (albeit ultra high definition) picture would fit on a Blu-ray.
Oh I’m not basing that on the 10% mumbo jumbo, just that data capture usually over captures. Distilling it down to just the bare functional essence will result in a far smaller data set. Granted, as you noted, there are new neuron types still being discovered, so what to discard is the question.