Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/54795
Título: | Nitric oxide diffusion and multi-compartmental systems: modeling and implications | Autores/as: | Fernández López, Pablo Carmelo García Báez, Patricio Suárez Araujo, Carmen Paz |
Clasificación UNESCO: | 120304 Inteligencia artificial | Palabras clave: | Multi-compartmental systems Nitric oxide diffusion Volume transmission NO generation/synthesis Diffusion neighbourhood |
Fecha de publicación: | 2015 | Editor/a: | Springer | Publicación seriada: | Lecture Notes in Computer Science | Conferencia: | 22nd International Conference on Neural Information Processing (ICONIP 2015) | Resumen: | The volume transmission (VT), a new type of cellular signaling, is based on the diffusion of neuro-active substances such as Nitric Oxide (NO) in the Extracellular Space (ECS). It is not homogeneous, critically dependent on, and limited by, its structure and physico-chemical properties. We present a different computational model of the NO diffusion based on multi-compartmental systems and transportation phenomena. It allows incorporating these ECS characteristics and the biological features and restrictions of the NO dynamics. This discrete model will allow to determine the NO dynamics and its capabilities in cellular communication and formation of complex structures in biological and artificial environments. This paper addresses the design model and its analysis in one-dimensional and three-dimensional environment, over trapezoidal generation and diffusion processes. | URI: | http://hdl.handle.net/10553/54795 | ISBN: | 978-3-319-26554-4 | ISSN: | 0302-9743 | DOI: | 10.1007/978-3-319-26555-1_59 | Fuente: | Neural Information Processing. ICONIP 2015. Lecture Notes in Computer Science, v. 9491 LNCS, p. 523-531 |
Colección: | Capítulo de libro |
Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.