Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/54795
Campo DC | Valor | idioma |
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dc.contributor.author | Fernández López, Pablo Carmelo | en_US |
dc.contributor.author | García Báez, Patricio | en_US |
dc.contributor.author | Suárez Araujo, Carmen Paz | en_US |
dc.date.accessioned | 2019-02-18T14:47:02Z | - |
dc.date.available | 2019-02-18T14:47:02Z | - |
dc.date.issued | 2015 | en_US |
dc.identifier.isbn | 978-3-319-26554-4 | en_US |
dc.identifier.issn | 0302-9743 | en_US |
dc.identifier.uri | http://hdl.handle.net/10553/54795 | - |
dc.description.abstract | 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. | en_US |
dc.language | eng | en_US |
dc.publisher | Springer | en_US |
dc.relation.ispartof | Lecture Notes in Computer Science | en_US |
dc.source | Neural Information Processing. ICONIP 2015. Lecture Notes in Computer Science, v. 9491 LNCS, p. 523-531 | en_US |
dc.subject | 120304 Inteligencia artificial | en_US |
dc.subject.other | Multi-compartmental systems | en_US |
dc.subject.other | Nitric oxide diffusion | en_US |
dc.subject.other | Volume transmission | en_US |
dc.subject.other | NO generation/synthesis | en_US |
dc.subject.other | Diffusion neighbourhood | en_US |
dc.title | Nitric oxide diffusion and multi-compartmental systems: modeling and implications | en_US |
dc.type | info:eu-repo/semantics/bookPart | en_US |
dc.type | Book part | en_US |
dc.relation.conference | 22nd International Conference on Neural Information Processing (ICONIP 2015) | - |
dc.identifier.doi | 10.1007/978-3-319-26555-1_59 | en_US |
dc.identifier.scopus | 84951941778 | - |
dc.identifier.isi | 000371579800059 | - |
dc.contributor.authorscopusid | 57196509357 | - |
dc.contributor.authorscopusid | 57208877975 | - |
dc.contributor.authorscopusid | 23476362100 | - |
dc.contributor.authorscopusid | 6603605708 | - |
dc.description.lastpage | 531 | en_US |
dc.description.firstpage | 523 | en_US |
dc.relation.volume | 9491 | en_US |
dc.investigacion | Ingeniería y Arquitectura | en_US |
dc.type2 | Capítulo de libro | en_US |
dc.contributor.daisngid | 3185920 | - |
dc.contributor.daisngid | 2362390 | - |
dc.contributor.daisngid | 1776211 | - |
dc.identifier.eisbn | 978-3-319-26555-1 | - |
dc.utils.revision | Sí | en_US |
dc.contributor.wosstandard | WOS:Lopez, PF | - |
dc.contributor.wosstandard | WOS:Baez, PG | - |
dc.contributor.wosstandard | WOS:Araujo, CPS | - |
dc.date.coverdate | Enero 2015 | en_US |
dc.identifier.supplement | 0302-9743 | - |
dc.identifier.conferenceid | events120944 | - |
dc.identifier.ulpgc | Sí | en_US |
dc.identifier.ulpgc | Sí | en_US |
dc.identifier.ulpgc | Sí | en_US |
dc.identifier.ulpgc | Sí | en_US |
dc.description.sjr | 0,328 | |
dc.description.sjrq | Q3 | |
dc.description.spiq | Q1 | |
item.grantfulltext | none | - |
item.fulltext | Sin texto completo | - |
crisitem.event.eventsstartdate | 09-11-2015 | - |
crisitem.event.eventsenddate | 12-11-2015 | - |
crisitem.author.dept | GIR IUCES: Computación inteligente, percepción y big data | - |
crisitem.author.dept | IU de Cibernética, Empresa y Sociedad (IUCES) | - |
crisitem.author.dept | Departamento de Informática y Sistemas | - |
crisitem.author.dept | GIR IUCES: Computación inteligente, percepción y big data | - |
crisitem.author.dept | IU de Cibernética, Empresa y Sociedad (IUCES) | - |
crisitem.author.dept | GIR IUCES: Computación inteligente, percepción y big data | - |
crisitem.author.dept | IU de Cibernética, Empresa y Sociedad (IUCES) | - |
crisitem.author.dept | Departamento de Informática y Sistemas | - |
crisitem.author.orcid | 0000-0002-2135-6095 | - |
crisitem.author.orcid | 0000-0002-9973-5319 | - |
crisitem.author.orcid | 0000-0002-8826-0899 | - |
crisitem.author.parentorg | IU de Cibernética, Empresa y Sociedad (IUCES) | - |
crisitem.author.parentorg | IU de Cibernética, Empresa y Sociedad (IUCES) | - |
crisitem.author.parentorg | IU de Cibernética, Empresa y Sociedad (IUCES) | - |
crisitem.author.fullName | Fernández López, Pablo Carmelo | - |
crisitem.author.fullName | García Baez, Patricio | - |
crisitem.author.fullName | Suárez Araujo, Carmen Paz | - |
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