Szczegóły publikacji

Opis bibliograficzny

Relations between geometric parameters and numerical simulation accuracy in modeling signal transmission in the presynaptic bouton / Maciej GIERDZIEWICZ // Applied Sciences (Basel) [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 2076-3417. — 2021 — vol. 11 iss. 6 art. no. 2811, s. 1–24. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 23–24, Abstr. — Publikacja dostępna online od: 2021-03-22

Autor

Słowa kluczowe

mesh quality measurespresynaptic boutonfinite elements methodthree dimensional mesh generationnumerical three-dimensional simulationsdifferential diffusive model

Dane bibliometryczne

ID BaDAP133203
Data dodania do BaDAP2021-03-24
Tekst źródłowyURL
DOI10.3390/app11062811
Rok publikacji2021
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Creative Commons
Czasopismo/seriaApplied Sciences (Basel)

Abstract

In order to examine nerve impulses by means of simulation methodology, the models of all parts of nervous system, well suited for numerical modeling, are needed. In this paper the problem of setting up such a model, namely, that of a presynaptic bouton, is addressed. Simulation of the neurotransmitter flow inside the presynaptic bouton is performed. The transport is modeled with a partial differential equation with an additional nonlinear term. Two ways of modeling the bouton are applied. One of them let reflect a complex shape of the bouton and of some inner organelles. The influence of the generated mesh quality on the accuracy of numerical simulations is studied by comparing the released amount of neurotransmitter. The only mesh that produced diminished output was the worst one. The conclusion is that even slightly optimized tetrahedral mesh is suitable for calculations.

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#130911Data dodania: 16.11.2020
Mesh geometric parameters for modeling signal transmission in the presynaptic bouton / Maciej GIERDZIEWICZ // W: Artificial Intelligence and Soft Computing : 19th International Conference, ICAISC 2020 : Zakopane, Poland, October 12–14, 2020 : proceedings, Pt. 1 / eds. Leszek Rutkowski [et al.]. — Cham : Springer Nature Switzeland, cop. 2020. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 12415. Lecture Notes in Artificial Intelligence). — ISBN: 978-3-030-61400-3; e-ISBN: 978-3-030-61401-0. — S. 613–625. — Bibliogr., Abstr. — Publikacja dostępna online od: 2020-10-07
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#115074Data dodania: 12.7.2018
Three-dimensional model of signal processing in the presynaptic bouton of the neuron / Andrzej BIELECKI, Maciej GIERDZIEWICZ, Piotr Kalita // W: Artificial Intelligence and Soft Computing : 17th International Conference : ICAISC 2018 : Zakopane, Poland, June 3–7, 2018 : proceedings, Pt. 1 / eds. Leszek Rutkowski, [et al.]. — Cham : Springer International Publishing AG, cop. 2018. — (Lecture Notes in Computer Science ; ISSN 0302-9743. Lecture Notes in Artificial Intelligence ; 10841). — ISBN: 978-3-319-91252-3; e-ISBN: 978-3-319-91253-0. — S. 3–14. — Bibliogr. s. 13–14, Abstr.