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Relating Transition P Systems and Spiking Neural P Systems

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  • Conference paper
Unconventional Computation and Natural Computation (UCNC 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7956))

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Abstract

In this work we provide a relationship between Transition P systems with noncooperative rules or nTP systems and Spiking Neural P systems with weighted synapses or wSNP systems. In particular we define a reasonable operating mode of nTP systems we refer to as k-restricted object-minimal region-maximal parallelism or k-O min ,R max mode. We show that there exists a simulation of nTP systems operating in 1-O min ,R max mode with wSNP systems.

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Author information

Authors and Affiliations

  1. Algorithms & Complexity Lab, Department of Computer Science, University of the Philippines Diliman, 1101, Quezon City, Philippines

    Richelle Ann B. Juayong, Nestine Hope S. Hernandez, Francis George C. Cabarle & Henry N. Adorna

Authors
  1. Richelle Ann B. Juayong
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  2. Nestine Hope S. Hernandez
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  3. Francis George C. Cabarle
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  4. Henry N. Adorna
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Editor information

Editors and Affiliations

  1. Dipartimento di Informatica, Sistemistica e Communicazione, Università degli Studi di Milano-Bicocca, Viale Sacra 336/14, 20126, Milan, Italy

    Giancarlo Mauri

  2. Dipartimento di Informatica, Sistemistica e Comunicazione, Università degli Studi di Milano–Bicocca, Viale Sarca 336, 20126, Milano, Italy

    Alberto Dennunzio  & Luca Manzoni  & 

  3. Dipartimento di Informatica, Sistemistica e Comunicazione, Università degli Studi di Milano-Bicocca, Viale Sarca 336/14, 20126, Milano, Italy

    Antonio E. Porreca

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© 2013 Springer-Verlag Berlin Heidelberg

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Juayong, R.A.B., Hernandez, N.H.S., Cabarle, F.G.C., Adorna, H.N. (2013). Relating Transition P Systems and Spiking Neural P Systems. In: Mauri, G., Dennunzio, A., Manzoni, L., Porreca, A.E. (eds) Unconventional Computation and Natural Computation. UCNC 2013. Lecture Notes in Computer Science, vol 7956. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39074-6_30

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  • DOI: https://doi.org/10.1007/978-3-642-39074-6_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39073-9

  • Online ISBN: 978-3-642-39074-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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