@Hermes,
Hermes;79898 wrote:More to the point, you missed the thrust of what I was saying, which was that if there is no accepted scientifically proven model for the brain (that can be used for synthetic intelligence) then your reverse engineering argument is not applicable.
"Scientifically proven" is a phrase that makes me want to punch babies; it is a total contradiction in terms; it always reminds me of the announcer from those penis pill commercials that say their snake oil is "scientifically proven" to "increase size"; please refrain from using it
Vernon Mountcastle's hypothesis, used by Hawkins, is
fairly widely accepted btw. Here's a remarkable example of a result borne out by his particular approach to the brain:
Potential of visual cortex to develop an array of functional units unique to somatosensory cortex -- Schlaggar and O'Leary 252 (5012): 1556 -- Science
Visual and somatosensory cortices exchanged in neonatal mice retrain themselves. His model's predictive power is pretty awesome.
Anyway, what kind of model do you want anyway? A model of what?
Hermes;79898 wrote:What do you think of my conclusion that even if the BBP succeeds they will still have to work out why and how the model they created "works"?
That's too nebulous for me to address
Indeed your last post was also too nebulous which is why I couldn't really respond to it too well
If you're talking about stuff like the role of glial cells in memory, then presumably the Blue Brain project, which, unlike a human brain, will afford researchers the opportunity to observe and poke everything that happens,
as it happens, will help do a lot towards resolving those issues.
It would be comparable to being able to observe and manipulate in minute detail
anything and
everything that happens in a living human brain which we obviously can't do now.
In the particular example I mentioned, it's not as though we can just go into a person's brain, or even a rat's brain, and kill off glial cells that seem to play a role in memory, then restore them, then disable certain functionalities and leave others on, etc. like we can in software.
Even primitive connectionist neural models have already greatly contributed to neuroscience; if you knew this you wouldn't have raised these objections