To propagate a new pattern through an ART1 network without adjusting weights, i.e. to classify a pattern, two different update functions have been implemented:
Like the learning function, both of the update functions only take
the vigilance value 
as parameter. It has to be entered in
the control panel, the line below the parameters for the
learning function.
The difference between the
two update functions is the following:
ART1_Stable propagates a
pattern until the network is stable, i.e. either the cl unit or
the nc unit is active. To use this update function, you can
use the 
-button of the control panel. The next pattern
is copied to the input units and propagated completely through the
net, until a stable state is reached.
ART1_Synchronous, performs just one
propagation step with each call. To use this function you have
to press the 
-button to reset the net to a defined
initial state, where each unit has its initial activation value.
Then copy a new pattern into the input layer, using the buttons
and 
. Now you can choose the desired number of
propagation steps that should be performed, when pressing the
-button (default is 1). With this update function
it is very easy to observe how the ART1 learning algorithm
does its job.
So use ART1_Synchronous, to trace a pattern through a network, ART1_Stable to propagate the pattern until a stable state is reached.