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Membrane computing and brain modelling

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Abstract

We briefly discuss variants of (extended) spiking neural P systems that combine features from the areas of membrane computing and spiking neurons.

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References

  1. Păun Gh (1998) Computing with membranes. Journal of Computer and System Sciences 61(1):108–143 and TUCS Research Report 208 (1998) (http://www.tucs.fi)

    Article  Google Scholar 

  2. Păun Gh (2002) Computing with membranes: an introduction. Springer, Berlin

    Google Scholar 

  3. The P systems webpage, http://psystems.disco.unimib.it

  4. Martín-Vide C, Pazos J, Păun Gh, et al (2003) Tissue P systems. Theor Comput Sci 296:295–326

    Article  MATH  Google Scholar 

  5. Gerstner W, Kistler W (2002) Spiking neuron models. Single neurons, populations, plasticity. Cambridge University Press, Cambridge

    MATH  Google Scholar 

  6. Maass W (2002) Computing with spikes. Special Issue on Foundations of Information Processing of TELEMATIK 8(1):32–36

    Google Scholar 

  7. Maass W, Bishop C (eds) (1999) Pulsed neural networks. MIT Press, Cambridge

    Google Scholar 

  8. Ionescu M, Păun Gh, Yokomori T (2006) Spiking neural P systems. Fundamenta Informaticae 71:279–308

    MATH  MathSciNet  Google Scholar 

  9. Păun Gh (2007) Spiking neural P systems. A tutorial. Bull EATCS 91:145–159

    Google Scholar 

  10. Alhazov A, Freund R, Oswald M, et al (2007) Extended spiking neural P systems generating strings and vectors of non-negative integers. In: Hoogeboom HJ, Păun Gh, Rozenberg G (eds) Membrane computing. 7th International Workshop, WMC7, Springer, Berlin, pp 123–134

    Google Scholar 

  11. Freund R, Oswald M (2007) Extended spiking neural P systems with inhibitory axons. In: Sugisaka M, Tanaka H (eds) Proceedings of the 12th International Symposium on Artificial Life and Robotics, AROB12th 2007, Beppu, Oita, Japan, pp 509–512

  12. Binder A, Freund R, Oswald M, et al (2007) Extended spiking neural P systems with excitatory and inhibitory astrocytes. Proceedings of the 8th WSEAS Conference on Evolutionary Comput ing, Lecture Notes in Computational Intelligence, Vancouver, Canada, pp 88–101

    Google Scholar 

  13. Perea G, Araque A (2002) Communication between astrocytes and neurons: a complex language. J Physiol Paris 96:199–207

    Article  Google Scholar 

  14. Shen X, de Wilde P (2007) Long-term neuronal behavior caused by two synaptic modification mechanisms. Neurocomputing 70(7–9):1482–1488

    Article  Google Scholar 

  15. Binder A, Freund R, Oswald M (2008) Extended spiking neural P systems with astrocytes: variants for modelling the brain. Proceedings of the 13th International Symposium on Artificial Life and Robotics AROB13th 2008, Beppu, Oita, Japan, pp 520–524

  16. Buarque de Lima Neto F, de Wilde P (2006) Venn-like models of neocortex patches. International Joint Conference on Neural Networks, pp 89–96

  17. Ibarra OH, Păun A, Păun Gh, et al (2006) Normal forms for spiking neural P systems. 4th Brainstorming Week on Membrane Computing, vol II, RGNC REPORT 02/2006, Fénix Editora, Seville, pp 105–136

    Google Scholar 

  18. Freund R, Ionescu M, Oswald M (2007) Extended spiking neural P systems with decaying spikes and/or total spiking. In: Vaszil Gy (ed) Automata for Cellular and Molecular Computing. MTA Sztaki, Budapest, pp 64–76

    Google Scholar 

  19. Cavaliere M, Egecioglu O, Ibarra OH, et al (2007) Asynchronous spiking neural P systems. Tech Rep 9/2007, Microsoft Research, University of Trento, Centre for Computational and Systems Biology

  20. Ionescu M, Sburlan D (2007) Some applications of spiking neural P systems. Pre-proceedings of the Membrane Computing, International Workshop (WMC8), Thessaloniki, Greece, pp 383–394

  21. Leporati A, Zandron C, Ferretti C, et al (2007) Solving numerical NP-complete problems with spiking neural P systems. Preproceedings of the Membrane Computing International Workshop (WMC8), Thessaloniki, Greece, pp 405–424

  22. Păun Gh (2007) Twenty-six research topics about spiking neural P systems. Available at ref. 3

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Authors and Affiliations

  1. Faculty of Informatics, Vienna University of Technology, Vienna, Austria

    Marion Oswald

Authors
  1. Marion Oswald
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Correspondence to Marion Oswald.

Additional information

This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008

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Oswald, M. Membrane computing and brain modelling. Artif Life Robotics 13, 390–393 (2009). https://doi.org/10.1007/s10015-008-0619-0

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  • DOI: https://doi.org/10.1007/s10015-008-0619-0

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