Thesis - Department of Electronic & Computer Engineering

6. ConclusionsIn this thesis, a class of pulse coupled WTA neural networks is investigated. Wefind that it preserves some of the properties of its continuous counterpart qualitatively,however, the discrete coding can not always guarantee the same qualitative behavior ofthe network. Hence the selection of design parameters is critical. By selecting parametersproperly, it is feasible to implement pulse coupled WTA neural networks at lowcost but preserving the same competitive behavior as the continuous networks.To summarize, the following parameters are involved:I 1: Maximum external input;δ 1:The minimum resolution required;a : Self-excitatory recurrent strength;b : Lateral inhibition strength;τ : The time constant;N :The network size;θ:The threshold of the integrated-and-fire neuron, normalized by τ;A :The amplitude of the pulse;T p:The duration of the pulse at the receiver, normalized by τ ;t s: Response time, normalized by τ ;65