منابع مشابه
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]...
متن کاملSpiking Neural P Systems: Stronger Normal Forms
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...
متن کاملNew Normal Forms for Spiking Neural P Systems
1 Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074, Hubei, China [email protected], [email protected] 2 Department of Computer Science and Artificial Intelligence University of Sevilla Avda. Reina Mercedes s/n, 41012 Sevilla, Spain 3 Institute of Mathematics of the Romanian Academy PO Box 1-764, 014700 Bucureşti, Romania [email protected]...
متن کاملSpiking Neural P Systems
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...
متن کاملSpiking 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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ژورنال
عنوان ژورنال: Theoretical Computer Science
سال: 2007
ISSN: 0304-3975
DOI: 10.1016/j.tcs.2006.11.025