Abstract
The spiking neural P systems are a class of computing devices recently introduced as a bridge between spiking neural nets and membrane computing. In this paper we consider sequential SNP systems where the sequentiality of the system is induced by a simple choice: the neuron with the maximum number of spikes out of the neurons that can spike at one step will fire. This corresponds to a global view of the whole network that makes the system sequential. We study the properties of this restriction.KeywordsActive NeuronClock CycleOutput NeuronSequential MannerRule ApplicationThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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