No (to answer question far down near the end of this), it would not
help much. It would be about like trying to construct an artificial
New York City based on the traffic flow seen from the helicopter
reporting traffic flow for radio or TV reports.
F. Frank LeFever, Ph.D.
New York Neuropsychology Group
In <6opg77$4udg$1 at newssvr04-int.news.prodigy.com> "jjj"
<jaceklk at hotmail.com> writes:
>>I just read an article in Science magazine about that monkey having a
>of her brain with fNMR (dynamic, real time magnetic resonance) and I
>that thought: I think that researchers struggle to create a
>artificial brain. They try to teach that brain on the input from
>only, but how about if you can have a human fNMR scan with all
>thoughts as an additional input. You can create easily a vast amount
>for a artificial neural net!
>Another words, you would input both visual/auditory input (same as
>brain receives) AND the blood flow in biological neural network (fNMR
>Goal wold be to recreate a net which would behave the same way as the
>Advantage would be that you can easily test the new artificial brain
>the fNMR of real brain and the activity in artificial neural net are
>same. Also, I'm not sure but I feel that additional,easily acquired
>would help in creating the net since it give more information about
>hidden nodes/layers of the neural net.
>What do you think? Would that help a little in ultimate goal? :)
>(I realize that the real NN are very complex and that simulating that
>number of complex neurons is not possible today.)