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
Vista completa

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.