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Thesis - Department of Electronic & Computer Engineering

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served, as some loser will never stop firing, although it fires sparsely. Consequently, itswitches to WSA behavior.It also shows that asT pdecreases, the intersection points shift to the left, that is,both θ l( T p) and θ h( T p) also decreases till at last θ h( T p) →θ mand θ l( T p) → 0 .Therefore, the range <strong>of</strong> the available threshold shifts to the left asT pdecreases. Alsowhen T p« 1 , the applicable range <strong>of</strong> the threshold can be approximated by ( 0,θ m).Because <strong>of</strong> the assumption <strong>of</strong> the whole analysis, the above constraints are necessarybut not sufficient.At this point, it seems appropriate to stress that, the relative strength <strong>of</strong> self-excitationand lateral inhibition is crucial to the competitive behavior <strong>of</strong> the network.We keep a + b = 1 constant and choose b = 0.4, 0.5,0.6 respectively. Fig. 5.8shows that θ h( T p) increases as b decreases. That is, the constraints on the thresholdaais loosened as -- increases. This is straightforward, the ratio, -- , determines the degreebb<strong>of</strong> WTA behavior. The larger the ratio, the harder the WTA, the weaker the constraintson the threshold selection.48

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