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Modeling Neural Processes in Lindenmayer Systems

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Computational Intelligence and Bioinspired Systems (IWANN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3512))

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Abstract

Computing in nature as is the case with the human brain is an emerging research area in theoretical computer science. The present paper’s aim is to explore biological neural cell processes of interest and to model them with foundational concepts of computer science. We have started by discovering and studying certain primitive symbolic neural operations of neuron functions, and we have formalized them with Lindenmayer (L) systems.

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References

  1. Cavaliere, M., Ionescu, M., Ishdorj, T.-O.: Inhibiting/De-inhibiting rules in P systems. In: Mauri, G., Păun, G., Jesús Pérez-Jímenez, M., Rozenberg, G., Salomaa, A. (eds.) WMC 2004. LNCS, vol. 3365, pp. 224–238. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  2. Ishdorj, T.-O., Ionescu, M.: Replicative - distribution rules in P systems with active membranes. In: Liu, Z., Araki, K. (eds.) ICTAC 2004. LNCS, vol. 3407, pp. 68–83. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  3. Kleene, S.C.: Representation of Events in Nerve Nets and Finite Automata. In: Automata Studies, pp. 3–42. Princeton University Press, Princeton (1956)

    Google Scholar 

  4. Lindenmayer, A.: Mathematical models for cellular interaction in development I and II. Journal of Theoretical Biology 18, 280–315 (1968)

    Article  Google Scholar 

  5. Maass, W.: Neural Computation: A Research Topic for Theoretical Computer Science? Some Thoughts and Pointers. In: [9]

    Google Scholar 

  6. McCulloch, W.S., Pitts, W.H.: A Logical Calculus of the Ideas Immanent in Nervous Activity. Bulletin of Mathematical Biophysics 5, 115–133 (1943)

    Article  MATH  MathSciNet  Google Scholar 

  7. Pan, L., Alhazov, A., Ishdorj, T.-O.: Further Remarks on P Systems with Active Membranes, Separation, Merging and Release Rules. Soft Computing 8, 1–5 (2004)

    Google Scholar 

  8. Pan, L., Ishdorj, T.-O.: P Systems with Active Membranes and Separation Rules. Journal of Universal Computer Science 10(5), 630–649 (2004)

    MathSciNet  Google Scholar 

  9. Păun, G., Rozenberg, G., Salomaa, A.: Current Trends in Theoretical Computer Science: Entering the 21st Century. World Scientific, Singapore (2001)

    Book  Google Scholar 

  10. Rozenberg, G., Salomaa, A.: The Mathematical Theory of L Systems. Academic Press, New York (1980)

    MATH  Google Scholar 

  11. Shepherd, G.M.: Neurobiology. Oxford University Press, Oxford (1994)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Research Group on Mathematical Linguistics, Rovira i Virgili University, Pl. Imperial Tàrraco 1, 43005, Tarragona, Spain

    Carlos Martín-Vide & Tseren-Onolt Ishdorj

Authors
  1. Carlos Martín-Vide
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  2. Tseren-Onolt Ishdorj
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Editor information

Editors and Affiliations

  1. Departamento de Ingeniería Electrónica, Universitat Politècnica de Catalunya (UPC). E.T.S.I. de Telecomunicación, Campus Norte, Edificio C4, C/ Jordi Girona, 1-3, E08034, Barcelona, Spain

    Joan Cabestany

  2. Department of Computer Architecture and Computer Technology, University of Granada,  

    Alberto Prieto

  3. Grupo ISIS, Dpto. Tecnología Electrónica ETSI Telecomunicación, Universidad de Málaga, Campus de Teatinos, 29071, Málaga, Spain

    Francisco Sandoval

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© 2005 Springer-Verlag Berlin Heidelberg

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Martín-Vide, C., Ishdorj, TO. (2005). Modeling Neural Processes in Lindenmayer Systems. In: Cabestany, J., Prieto, A., Sandoval, F. (eds) Computational Intelligence and Bioinspired Systems. IWANN 2005. Lecture Notes in Computer Science, vol 3512. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11494669_19

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  • DOI: https://doi.org/10.1007/11494669_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26208-4

  • Online ISBN: 978-3-540-32106-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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