CANT 1.8
    The CANT applet should have appeared as another window.  The
       applet version is incomplete, and doesn't allow you to write
       files.  However, many experiments should be able to run.
       The code can be downloaded as 
       a WinZip file; 
       it should show more things and allow file writing.  If you have
       any problems feel free to contact
       c.huyck@mdx.ac.uk 
    
    From the tech report on Cell Assemblies and Neural 
       Network Theory: From Correlators to Cell Assemblies there are
       several experiments.
    
       - Experiment 1 section 2.2.1: Correlational Learning
           Print Axonal Variance (A is top, B bottom, and C the middle)
           whenever average axonal weights are needed.
           set the 
          
             - ChangePatternEachTime on
 
             - AssociationTestOn on
 
             - AllowRunOn off
 
             - NeuronsFatigue off
 
             - CompensatoryLearning off
 
          
        
       - Experiment 2 section 2.2.2: Correlational Learning 
           As experiment 1, but set the learning rate to 0.05 (SetParameters
           LearningRate menu item. Followed by Text Entry and EnterParameter 
           Button)
        
       - Experiment 3 section 2.2.3: Correlational Learning with
           Normal patterns. 
 Again this is similar to Experiment
           1, but set
           
             - ChangePatternEachTime off
 
          
        
       - Experiment 4 section 3.1: Fatigue. 
 
           Similar to Experiment 1 with Neurons Fatiguing. Set
          
             - NeuronsFatigue on
 
          
        
       - Experiment 5 section 3.2: Spreading Activation. 
 
           Similar to Experiment 3 with Spreading Activation On. Set
          
             - NeuronsFatigue off
 
             - CompensatoryLearning off
 
             - Note, that only rarely does a neuron fire via
                 internal activation.  Lower the Activation Threshold
                 to 3 (it's 5 by default) by SetParameters
                 ActivationThreshold, and there will be internal
                 activation.
 
          
        
       - Experiment 6 section 4.4: Overlapping CAs, using normal patterns.
           
 This works better than described in the tech report.  
                The learning parameters have been set differently, and
                generally, two overlapping CAs are formed. Leave things
                at the default values.
        
       - Experiment 7 section 4.4: Overlapping CAs. 
 
           Similar to Experiment 6 with alternating patterns. Set
          
             - ChangeEachTime on
 
             - AssociationTest on
 
             - AllowRunOn off
 
          
          Train for 8000 Cycles, then test by Set
          
             - ChangeEachTime off
 
             - AssociationTest off
 
             - AllowRunOn on
 
             - You may also turn LearningOn off
 
             - Note that axonal variance is much lower than Experiment 6.
             
 
          
        
    
    
    Hints for running
    
       - Parameters are often changed by selecting the menu item,
           then entering the value in the text box, and then pressing
           the Enter Parameter Button.
       
 
       - The simulation has a delay when in run mode.  This delay
           can be modified by using the Execution SetRunDelay menu item
           (followed by text entry and the parameter button).
 
       - You can create a new network (untrained) from the Net NewNetwork
           menu item. You may also read in a pre-existing net via Net 
           ReadNetwork, which reads the network on the server specified by
           the Net SetNetworkFile menu item.
 
       
       
    
    
    
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