Szczegóły publikacji
Opis bibliograficzny
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
Autor
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 130911 |
|---|---|
| Data dodania do BaDAP | 2020-11-16 |
| DOI | 10.1007/978-3-030-61401-0_57 |
| Rok publikacji | 2020 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | International Conference on Artificial Intelligence and Soft Computing 2020 |
| Czasopismo/seria | Lecture Notes in Computer Science |
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.
