From: Michael M. Butler (mmb@spies.com)
Date: Tue Jan 28 2003 - 13:10:19 MST
Anders Sandberg wrote:
> In my own neural network research each state of a neuron can be viewed
> as a dimension, and the dynamics of my network corresponds to movement
> of a point through a N-sqrt(N) dimensional space. Rather hard to
> visualize, unfortunately.
I seem to be doing a lot of replying to Anders today.
So you're saying that, as a vector, each neuron could be fairly notated as
(0,0,0,...0,1,0...0,0)
at any point in time, with the "1" sort of wandering around the vector?
That's what one dimension per state sounds like to me.
Pardon my ignorance, but how distinct are the neural states you're talking
about in *real* neurons? (I know the rejoinder... "What do real neurons
have to do with neural network research, anyway?" :) )
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