Opened Access Spiking Neural P Systems with Anti-Spikes
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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, 139-150. Sevilla, E.T.S. de Ingeniería Informática, 2-6 de Febrero, 2009
ISBN/ISSN: 9788461328369
Tipo de documento: Ponencia
Resumen: Besides usual spikes employed in spiking neural P systems, we consider "anti-spikes", which participate in spiking and forgetting rules, but also annihilate spikes when meeting in the same neuron. This simple extension of spiking neural P systems is shown to considerably simplify the universality proofs in this area: all rules become of the form bc ! b0 or bc ! ¸, where b; b0 are spikes or anti-spikes. Therefore, the regular expressions which control the spiking are the simplest possible, identifying only a singleton. A possible variation is not to produce anti-spikes in neurons, but to consider some "inhibitory synapses", which transform the spikes which pass along them into anti- spikes. Also in this case, universality is rather easy to obtain, with rules of the above simple forms.
Tamaño: 186.6Kb
Formato: PDF

URI: http://hdl.handle.net/11441/38927

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