Sequentiality Induced by Spike Number in SNP Systems

Authors:
Oscar H. Ibarra;Andrei Păun;Alfonso Rodríguez-Patón
Affiliations:
Department of Computer Science, University of California, Santa Barbara, USA 93106;Department of Computer Science, Louisiana Tech University, Ruston, Louisiana, USA LA-71272 and Departamento de Inteligencia Artificial, Faculdad de Informática, Universidad Politécnica d ...;Departamento de Inteligencia Artificial, Faculdad de Informática, Universidad Politécnica de Madrid - UPM, Madrid, Spain 28660
Venue:
DNA Computing
Year:
2009

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Sequentiality induced by spike number in SNP systems: small universal machines

CMC'11 Proceedings of the 12th international conference on Membrane Computing

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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.