Opened Access New Normal Forms for Spiking Neural P Systems
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Autor: Pan, Linqiang
Paun, Gheorghe
Departamento: Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial
Fecha: 2009
Publicado en: Proceedings of the Seventh Brainstorming Week on Membrane Computing, vol.II, 127-138. Sevilla, E.T.S. de Ingeniería Informática, 2-6 de Febrero, 2009
ISBN/ISSN: 9788461328369
Tipo de documento: Ponencia
Resumen: We consider a natural restriction in the architecture of a spiking neural P system, namely, to have neurons of a small number of types (i.e., using a small number of sets of rules), and we prove that three types of neurons are su±cient in order to generate each recursively enumerable set of numbers as the distance between the first two spikes emitted by the system or as the number of spikes in a specified neuron, in the halting configuration. The case we investigate is that of spiking neural P systems with standard rules, with delays, but without using forgetting rules; similar normal forms remain to be found for other types of systems.
Tamaño: 214.8Kb
Formato: PDF

URI: http://hdl.handle.net/11441/38919

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