Could you specify what do you mean by synaptic response curve? If it is what
I think it is it is far from linear, at least from the textbooks I read, so
I am probably not following you.

On 7/9/08, Steve Richfield <[EMAIL PROTECTED]> wrote:
>
> Mike, et al,
>
> When you look at the actual experiments upon which what we think we know is
> based, the information is SO thin that it is hard to come to any other
> rational conclusion. I could describe some of these, where for example a
> group of people spent a year putting electrodes into every one of the
> neurons in a lobster's stomatogastric ganglion so that they could
> electrically quiet all but two of them. This so that they could plot the
> synaptic response curve between those two cells. Why did it take a year?
> Because the neurons would die before they could make a recording. It took a
> year or trying and failing before blind luck finally worked in their favor.
>
> OK, so what does a synaptic response curve look like in our brain? Is it
> linear like many people presume? NO ONE KNOWS. Everything written on this
> subject is pure speculation.
>
> I see only one possibly viable way through this problem. It will take two
> parallel research efforts:
> 1.  One effort is purely theoretical, where the optimal solutions to
> various processing problems is first exhibited, then the best solutions that
> can be achieved in a cellular architecture are exhibited, then potentially
> identifiable features are documented to guide wet-science efforts to
> confirm/deny these theories.
> 2.  The other effort is a wet science effort armed with a scanning UV
> fluorescence microscope (or something better if something better comes
> along) that is charged with both confirming/denying identifiable details
> predicted by various theories, and with producing physical diagrams of
> brains to guide theoretical efforts.
>
> At present, there is not one dollar of funding for either of these efforts,
> so I expect to stay at the 2 micron point for the foreseeable future.
>
> Steve Richfield
> ================
>



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agi
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