Ponencia
New Normal Forms for Spiking Neural P Systems
Autor/es | Pan, Linqiang
Paun, Gheorghe |
Departamento | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Fecha de publicación | 2009 |
Fecha de depósito | 2016-03-22 |
Publicado en |
|
ISBN/ISSN | 9788461328369 |
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 ... 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. |
Identificador del proyecto | P08 – TIC 04200 |
Ficheros | Tamaño | Formato | Ver | Descripción |
---|---|---|---|---|
14_3nformSNPlp.pdf | 214.8Kb | [PDF] | Ver/ | |