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In this article is presented a very simple and effective
analog spiking neural network simulator, realized with an
eventdriven method, taking into account a basic biological
neuron parameter: the spike latency. Also, other fundamentals
biological parameters are considered, such as subthreshold
decay and refractory period. This model allows to synthesize
neural groups able to carry out some substantial functions.
The proposed simulator is applied to elementary structures,
in which some properties and interesting applications are
discussed, such as the realization of a Spiking Neural Network
Classifier.
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