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Mesh Geometric Parameters for Modeling Signal Transmission in the Presynaptic Bouton

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Artificial Intelligence and Soft Computing (ICAISC 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12415))

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Abstract

In this paper the generation of a geometrical model for simulation of the transport process inside the bouton of the biological neuron is considered. The transport is modeled in three-dimensional space by using nonlinear diffusion-like partial differential equation. The geometry of the bouton is modeled in two ways. One of them is the geosphere and the other one is the globe. The quality of the mesh elements is examined.

The work has been accomplished with the use of PL-Grid computing infrastructure.

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Authors and Affiliations

  1. Chair of Applied Computer Science, Faculty of Automation, Electrical Engineering, Computer Science and Biomedical Engineering, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Cracow, Poland

    Maciej Gierdziewicz

Authors
  1. Maciej Gierdziewicz
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Corresponding author

Correspondence to Maciej Gierdziewicz .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Częstochowa, Poland

    Rafał Scherer

  3. Częstochowa University of Technology, Częstochowa, Poland

    Marcin Korytkowski

  4. Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  5. AGH University of Science and Technology, Kraków, Poland

    Ryszard Tadeusiewicz

  6. Electrical and Computer Engineering, University of Louisville, Louisville, KY, USA

    Jacek M. Zurada

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Gierdziewicz, M. (2020). Mesh Geometric Parameters for Modeling Signal Transmission in the Presynaptic Bouton. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2020. Lecture Notes in Computer Science(), vol 12415. Springer, Cham. https://doi.org/10.1007/978-3-030-61401-0_57

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  • DOI: https://doi.org/10.1007/978-3-030-61401-0_57

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-61400-3

  • Online ISBN: 978-3-030-61401-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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