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Tytuł artykułu

Extending Simulation of Asynchronous Spiking Neural P Systems in P–Lingua

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Języki publikacji
EN
Abstrakty
EN
Spiking neural P systems (SN P systems for short) are a class of neural-like computing models in the framework of membrane computing. Inspired by the neurophysiological structure of the brain, SN P systems have been extended in various ways. P–Lingua is a standard language for the definition of P systems, where pLinguaCore library provides particular implementations of parsers and simulators for the models specified in P–Lingua. A support for simulating SN P systems in P–Lingua was introduced recently and soon expanded to cover further features of these systems. In this paper, we present an extension of P–Lingua related to asynchronous SN P systems, in order to incorporate simulation capabilities for limited asynchronous SN P systems and asynchronous SN P systems with local synchronization.
Wydawca
Rocznik
Strony
253--267
Opis fizyczny
Bibliogr. 10 poz., tab.
Twórcy
  • Research Group on Natural Computing Department of Computer Science and Artificial Intelligence University of Sevilla Avda. Reina Mercedes s/n. 41012 Sevilla, Spain
  • Research Group on Natural Computing Department of Computer Science and Artificial Intelligence University of Sevilla Avda. Reina Mercedes s/n. 41012 Sevilla, Spain
autor
  • Key Laboratory of Image Information Processing and Intelligent Control School of Automation Huazhong University of Science and Technology Wuhan 430074, Hubei, China
autor
  • Key Laboratory of Image Information Processing and Intelligent Control School of Automation Huazhong University of Science and Technology Wuhan 430074, Hubei, China
Bibliografia
  • [1] Cavaliere, M., Egecioglu, M., Ibarra, O.H., Ionescu, M., Păun, Gh., Woodworth, S.: Asynchronous spiking neural P systems: Decidability and undecidability. Lecture Notes in Computer Science vol. 4848, pp. 246–255 (2007)
  • [2] García-Quismondo, M., Gutiérrez-Escudero, R., Pérez-Hurtado, I., Pérez-Jiménez, M.J., Riscos-Núñez, A.: An overview of P-Lingua 2.0. Lecture Notes in Computer Science. vol. 5957, pp. 264–288 (2010)
  • [3] Ionescu,M., Păun, Gh., Yokomori, T.: Spiking neural P Systems. Fundamenta Informaticae 71(2-3), 279–308 (2006)
  • [4] Macías-Ramos, L.F., Pérez-Hurtado, I., García-Quismondo, M., Valencia-Cabrera, L., Pérez-Jiménez, M.J., Riscos- Núñez, A.: A P-Lingua based simulator for spiking neural P Systems. Lecture Notes in Computer Science vol. 7184, pp. 257–281 (2012)
  • [5] Macías-Ramos, L.F., Pérez-Jiménez, M.J.: Spiking Neural P Systems with Functional Astrocytes. Lecture Notes in Computer Science vol. 7762, pp. 228–242 (2013)
  • [6] Macías-Ramos, L.F., Pérez-Jiménez,M.J.: On recent developments in P-Lingua based simulators for spiking neural P systems. In. Pre-proceedings of The Asian Conference of Membrane Computing, pp. 14–29 (2012)
  • [7] Pan, L.,Wang, J., Hoogeboom, H.J.: Limited asynchronous spiking neural P systems. Fundamenta Informaticae 110(1-4), 271–293 (2011)
  • [8] Păun, Gh.: Membrane computing: An introduction. Springer Verlag (2002)
  • [9] Păun, Gh., Rozenberg, Gh., Salomaa, A. eds.: The Oxford Handbook of Membrane Computing. Oxford University Press, Inc., New York, USA (2010)
  • [10] Song, T., Pan, L., Păun, Gh.: Asynchronous spiking neural P systems with local synchronization. Information Sciences 219, 197–207 (2013)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9d197dd5-e559-4741-8185-be69dfd93cff
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