Abstract
The paper considers spiking neural P systems (SN P systems) with cooperating rules where each neuron has the same number of sets of rules, labelled identically. Each set is called a component (maybe empty). At each step only one of the components can be active for the whole system, and only the rules from the active component are enabled. Each neuron with enabled rules from this active component can fire. By using 59 neurons, a small universal SN P system with two components, working in the terminating mode, is constructed for computing functions.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Csuhaj-Varju, E., Dassow, J.: On cooperating/distributed grammar systems. Journal of Information Processing and Cybernetics (EIK) 26, 49–63 (1990)
Ionescu, M., Păun, Gh., Yokomori, T.: Spiking neural P systems. Fundamenta Informaticae 71, 279–308 (2006)
Korec, I.: Small universal register machines. Theoretical Computer Science 168, 267–301 (1996)
Metta, V.P., Kelemenová, A.: Smaller universal spiking neural P systems with anti-spikes. Journal of Automata, Languages and Combinatorics 19(1–4), 213–226 (2014)
Metta, V.P., Raghuraman, S., Krithivasan, K.: Spiking neural P systems with cooperating rules. In: Proc. of Conference on Membrane Computing (CMC 15), Prague, Czech Republic, pp. 267–282 (2014)
Minsky, M.: Computation – Finite and Infinite Machines. Prentice Hall, Englewood Cliffs (1967)
Neary, T.: A boundary between universality and non-universality in extended spiking neural P systems. In: Dediu, A.-H., Fernau, H., MartÃn-Vide, C. (eds.) LATA 2010. LNCS, vol. 6031, pp. 475–487. Springer, Heidelberg (2010)
Pan, L., Zeng, X.: A note on small universal spiking neural P systems. In: Păun, Gh., Pérez-Jiménez, M.J., Riscos-Núñez, A., Rozenberg, G., Salomaa, A. (eds.) WMC 2009. LNCS, vol. 5957, pp. 436–447. Springer, Heidelberg (2010)
Pan, L., Zeng, X.: Small universal spiking neural P systems working in exhaustive mode. IEEE Transactions on Nano-Bioscience 10(2), 99–105 (2011)
Pan, L., Zeng, X., Zhang, X.: Small asynchronous universal spiking neural P systems. In: Proc. of IEEE Fifth International Conference on Bio-inspired Computing: Theories and Applications, pp. 622–630 (2010)
Păun, A., Păun, Gh.: Small universal spiking neural P systems. BioSystems 90(1), 48–60 (2007)
Păun, Gh., Rozenberg, G., Salomaa, A. (eds.): Handbook of Membrane Computing. Oxford University Press, Oxford (2010)
Păun, A., Sidoroff, M.: Sequentiality induced by spike number in SN P systems: small universal machines. In: Gheorghe, M., Păun, Gh., Rozenberg, G., Salomaa, A., Verlan, S. (eds.) CMC 2011. LNCS, vol. 7184, pp. 333–345. Springer, Heidelberg (2012)
Rozenberg, G., Salomaa, A. (eds.): Handbook of Formal Languages, 3 vol. Springer, Berlin (1997)
Song, T., Pan, L.: A small universal spiking neural P system with cooperating rules as number generator. In: Proc. of Asian Conference on Membrane Computing (ACMC 2014), Coimbatore, India, pp. 33–44 (2014)
Song, T., Pan, L., Păun, Gh.: Spiking neural P systems with rules on synapses. Theoretical Computer Science 529(10), 82–95 (2014)
Zhang, X., Zeng, X., Pan, L.: Smaller universal spiking neural P systems. Fundamenta Informaticae 87, 117–136 (2008)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Metta, V.P., Raghuraman, S., Krithivasan, K. (2014). Small Universal Spiking Neural P Systems with Cooperating Rules as Function Computing Devices. In: Gheorghe, M., Rozenberg, G., Salomaa, A., SosÃk, P., Zandron, C. (eds) Membrane Computing. CMC 2014. Lecture Notes in Computer Science(), vol 8961. Springer, Cham. https://doi.org/10.1007/978-3-319-14370-5_19
Download citation
DOI: https://doi.org/10.1007/978-3-319-14370-5_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-14369-9
Online ISBN: 978-3-319-14370-5
eBook Packages: Computer ScienceComputer Science (R0)