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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.
Inertia in an automobile You can view the same effect as in experiment 8 when you are riding in a car that is rapidly stopped. You have to brace yourself to keep from sliding
measurement and calculation with formula
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