🚀 go-pugleaf

J. Sieracki (elf@universe.digex.net) wrote:

: Fourth order?  I'd guess you're limiting your thinking to canned Runge-Kutta
: routines.  One can generate numerical integrators to any order you like.
: Realistically the order must be finite, as is the numerical precision.  You
: can escape this with analog circuits but then you've just swapped finite
: precision error for an analog noise floor.

I'm new to this aspect of the field, and I think I got it garbled. In
order to get around a digital model of the brain using PDE integration
techniques, I need arbitrarily small significant features. I think the
scaling has to go both directions, so larger scale patterns can set the
patterns at the smaller scale and so the smaller scale patterns can be
amplified to the larger scale. I see candidate amplification/reduction
processes involving stochastic resonance for the following scale levels:
synapse, dendrite, cell, cell assembly, large-scale network and up. The
main barrier seems to be sub-synaptic, although that's only an
information transfer barrier; the structure keeps on going. 

--
Harry Erwin
Internet: herwin@gmu.edu 
Just a dumb graduate student working on Katchalsky network models....
(And if you believe that, I have a ranch in California to sell you.)