> From: [EMAIL PROTECTED] > In a message dated 3/4/2002 12:49:10 PM Eastern Standard Time, [EMAIL PROTECTED] writes:
> Processing at the same bitrate and simulate the human mind are different > things. What they have to do to simulate a human mind is to simulate > it's, connectivity, its network. Each Neuron has up to something like > thousands of different connections. In whole the human brain has more > possible connections then there are sub-atomic particles in the universe. > > The neuron can respond in only a binary manner (fire not fire = depolarize > not depolarize) but the number of influences on the state of the neuron are > so great that predicting when a neuron would fire and altering the firing > potential would be almost impossible. the feedback loops and biochemical > interactions are obscenely complicated. About 3 months ago I heard one of > the Noble winners from Rockefeller U give an "abbreviated" review of the > neuronal function. Very elegent powerpoint presentation. Within 10 minutes > my head was spinning and he had just talked about the complexity of the > excitory pathways only mentioning briefly how the inhibitory pathways > worked and how each pathway effected each other at mutliple sites along the > enzyme chain. With enough studying they will eventually be able to replicate a single neuron in software. Once that has been accomplished (and a great accomplishment it will be) they will start connecting more and more of these simulated neurons together, not neccesarrilly in the same organization as a human mind. (Undoubtedly they will use some sort of genetic programming techniques to develop the mind of the simulated AI). It may be that it takes a significant amount of processor speed / memory to accurately simulate a single neuron (like say a top of the line Xeon computer). This would require connecting a lot of computer hardware together.
