Diagram of the network looks:

(b) When both x and y are large, i.e., both A and B are firing, w is increasing without bound. When one or both of x and y are small, w does not change or changes slowly. This may be seen as formalization of a stable learning.

(c)  If A and B keep firing together in time during a lifetime, w will increase without bound. This behavior cannot be biologically sustained because of synaptic normalization mechanism:

there are constraints that limit the magnitude of the weight to some value, there is a competition between the input neurons.

Posted Date: 4/2/2013 5:14:14 AM | Location : United States

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