Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/75582
DC Field | Value | Language |
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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 | 2020-11-16T13:35:51Z | - |
dc.date.available | 2020-11-16T13:35:51Z | - |
dc.date.issued | 2014 | en_US |
dc.identifier.isbn | 978-3-319-12636-4 | en_US |
dc.identifier.issn | 0302-9743 | en_US |
dc.identifier.other | WoS | - |
dc.identifier.uri | http://hdl.handle.net/10553/75582 | - |
dc.description.abstract | Cellular communiction is one mechanism that connects nerve cells to cognition. At present it seems that synaptic transmission may not be the only type of signal processing between cells. Volume transmission (VT) is a process that is performed by means of a gas diffusion process, which is obtained with a diffusive type of signal. This work shows a Diffusion Model for NO based on Bessel Functions that are valid for homogeneous and isotropic environments for instantaneous generation and their diffusion occurs while being constrained by cylindrical morphology. The model is validated with experimental data from the dynamic behaviour of NO in endothelium cells. Capacities are analysed in the study of the Diffusion and Autoregulation of NO, and their role in Fast Diffusion Neural Propagaton of NO is observed. | 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 2014. Lecture Notes in Computer Science, v. 8834 LNCS, p. 50-58, (2014) | en_US |
dc.subject | 1203 Ciencia de los ordenadores | en_US |
dc.subject | 2490 Neurociencias | en_US |
dc.subject.other | Nitric oxide | en_US |
dc.subject.other | Volume transmission | en_US |
dc.subject.other | No dynamics | en_US |
dc.subject.other | Fast diffusion neural propagation | en_US |
dc.subject.other | Bessel functions | en_US |
dc.title | Dynamic of nitric oxide diffusion in volume transmission: model and validation | en_US |
dc.type | info:eu-repo/semantics/bookPart | en_US |
dc.type | Book part | en_US |
dc.relation.conference | 21st International Conference on Neural Information Processing (ICONIP 2014) | en_US |
dc.identifier.doi | 10.1007/978-3-319-12637-1_7 | en_US |
dc.identifier.scopus | 84921448374 | - |
dc.identifier.isi | 000432659500007 | - |
dc.contributor.authorscopusid | 56490718200 | - |
dc.contributor.authorscopusid | 56491062500 | - |
dc.contributor.authorscopusid | 56490820200 | - |
dc.identifier.eissn | 1611-3349 | - |
dc.description.lastpage | 58 | en_US |
dc.description.firstpage | 50 | en_US |
dc.relation.volume | 8834 LNCS | en_US |
dc.investigacion | Ingeniería y Arquitectura | en_US |
dc.type2 | Capítulo de libro | en_US |
dc.contributor.daisngid | 3327395 | - |
dc.contributor.daisngid | 7226269 | - |
dc.contributor.daisngid | 24891674 | - |
dc.description.numberofpages | 9 | en_US |
dc.identifier.eisbn | 978-3-319-12637-1 | - |
dc.utils.revision | Sí | en_US |
dc.contributor.wosstandard | WOS:Pablo, FL | - |
dc.contributor.wosstandard | WOS:Patricio, GB | - |
dc.contributor.wosstandard | WOS:Paz, SAC | - |
dc.date.coverdate | Enero 2014 | en_US |
dc.identifier.supplement | 0302-9743 | - |
dc.identifier.conferenceid | events121102 | - |
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.contributor.buulpgc | BU-INF | en_US |
dc.contributor.buulpgc | BU-INF | en_US |
dc.contributor.buulpgc | BU-INF | en_US |
dc.contributor.buulpgc | BU-INF | en_US |
dc.description.sjr | 0,325 | |
dc.description.sjrq | Q3 | |
dc.description.spiq | Q1 | |
item.grantfulltext | none | - |
item.fulltext | Sin texto completo | - |
crisitem.event.eventsstartdate | 03-11-2014 | - |
crisitem.event.eventsenddate | 06-11-2014 | - |
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 | - |
Appears in Collections: | Capítulo de libro |
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