Structured analysis for neural networks using Petri nets

A neural Petri net model examining the dynamic and parallel activities of the neurons is presented. The structural and behavioral properties of the neuron can be studied in some detail using Petri nets. The advantage of this model over the ones in the current literature is that, it uses less parameters, hence it reduces the overall computation complexity of the model. Examples are given illustrating the way in which the neural Petri net can be employed to simulate the behavior of the neuron.<
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