possible new way to model neural nets?

x011 at Lehigh.EDU x011 at Lehigh.EDU
Mon Mar 27 08:29:41 EST 1995


Science 10 February 1995 page 868 had a very interesting article on
Navigating Complex Labyrinths: Optimal Paths from Chemical Waves
by Steinbock, Toth, and Showalter.
ABSTRACT
"Optimal pathways are experimentally determined by the collection
of time-lapse position information on chemical waves propagating through
mazes prepared with the Belousov-Zhabotinsky reaction.  The corresponding
velocity fields provide maps of optimal paths from every point in an
image grid to a particular target point.  Collision of waves that were
temporarily separated by obstacles mark boundary lines between significantly
different paths with the same absolute distance.  The pathfinding algorithm
is tested in very complex mazes with a simple reaction-diffusion model."

This research may be useful to model neural communication and neural nets.
What got my attention is the following quote: "Propagating waves in spatially
distributed, excitable media arise from the coupling of a positive feedback
process with some form of transport,..."  The rules of nature that apply
to wave activity in chemical should be similar to the rules of neural
wave transmission.   Ron Blue




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