[ExI] another step towards uploading
eugen at leitl.org
Mon Oct 7 05:38:54 UTC 2013
On Sun, Oct 06, 2013 at 06:25:11PM +0100, Anders Sandberg wrote:
> I think people tend to overestimate how hard it is to run a
> nonlinear neuron model. The big problem is getting the parameters
> right, not the actual simulation - that is mostly a matter of
> running a lot of HH-like equations, and optimizing for your
You don't have to solve the equations (neural tissue certainly doesn't
do that), just build a physical system that does the equivalent.
Until you can do that, you need classical all-purpose computers,
of course, as a sacrificial bootstrap substrate.
> available computational substrates. Getting enough data from tissue
> to pin down the simulation parameters *and* check that it produces
> sensible results (especially since the data collection might have
> ruined the cell for comparision and testing), that is the challenge.
> A super-resolution scan might still be worthless if it doesn't tell
> you what you need to know.
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