Instructions for running Hopfield network simulation
----------------------------------------------------

1. Load the file 'patterns.mat' into matlab.  This contains three 100x1
vectors, X, O, and S.  You can display these as 10x10 images using the
command:

     imagesc(reshape(X,10,10)), axis square

2. Store the three patterns into the network association matrix, T,
using the outer product rule:

     T = X*X' + O*O' + S*S';

3. Now initialize the network state to one of these patterns and let
it run.  It should stay put at that pattern.

     net_state=X;
     hopnet

4. Now randomize some percentage of the bits and see where the network
state converges as a function of the number of bits perturbed:

     net_state=X;
     i=ceil(100*rand(30,1));
     net_state(i)=-X(i);
     hopnet

5. If you like, you can generate additional patterns using the script
'genpat.m' and store these patterns as well to push the capacity of 
the network.