Spiking neural P systems: An improved normal form

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Spiking neural P systems: An improved normal form

Spiking neural P systems (in short, SN P systems) are computing devices based on the way the neurons communicate through electrical impulses (spikes). These systems involve various ingredients; among them, we mention forgetting rules and the delay in firing rules. However, it is known that the universality can be obtained without using these two features. In this paper we improve this result in...

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Spiking neural P system is a computing device recently introduced as a bridge between spiking neural nets and membrane computing. In this paper we focus on normal forms of these systems while preserving their computational power. We show that certain combinations of existing normal forms are possible without loss of computational power, thus answering partially open problems stated in [3,8]. We...

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Normal forms for spiking neural P systems

1 Department of Computer Science University of California Santa Barbara, CA 93106, USA [email protected], [email protected] 2 Department of Computer Science, Louisiana Tech University, Ruston PO Box 10348, Louisiana, LA-71272 USA [email protected] 3 Universidad Politécnica de Madrid UPM, Faculdad de Informática Campus de Montegancedo s/n, Boadilla del Monte, 28660 Madrid, Spain [email protected]...

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This paper is an attempt to incorporate the idea of spiking neurons into the area of membrane computing, and to this aim we introduce a class of neural-like P systems which we call spiking neural P systems (in short, SN P systems). In these devices, the time (when the neurons fire and/or spike) plays an essential role. For instance, the result of a computation is the time between the moments wh...

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ژورنال

عنوان ژورنال: Theoretical Computer Science

سال: 2010

ISSN: 0304-3975

DOI: 10.1016/j.tcs.2009.11.010