Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/73118
Campo DC Valoridioma
dc.contributor.authorSuárez-Araujo, Carmen Pazen_US
dc.date.accessioned2020-06-08T22:07:50Z-
dc.date.available2020-06-08T22:07:50Z-
dc.date.issued2000en_US
dc.identifier.isbn1-56396-933-5en_US
dc.identifier.issn0094-243Xen_US
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/73118-
dc.description.abstractWe present in this work a theoretical and conceptual study and some reflections on a fundamental aspect concerning with the structure and brain function: the Cellular Communication. The main interests of our study are the signal transmission mechanisms and the neuronal mechanisms responsible to learning. We propose the consideration of a new kind of communication mechanisms, different to the synaptic transmission, ''Diffusion or Volume Transmission". This new alternative is based on a diffusing messenger as nitric oxide (NO). Our study aims towards the design of a conceptual framework, which covers implications of NO in the artificial neural networks (ANNs), both in neural architecture and learning processing. This conceptual frame might be able to provide possible biological support for many aspects of ANNs and to generate new concepts to improve the structure and operation of them. Some of these new concepts are The Fast Diffusion Neural Propagation (FDNP), the Diffuse Neighbourhood (DNB), (1), the Diffusive Hybrid Neuromodulation (DHN), the Virtual Weights. Finally we will propose a new mathematical formulation for the Hebb learning law, taking into account the NO effect. Along the same lines, we will reflect on the possibility of a new formal framework for learning processes in ANNs, which consist of slow and fast learning concerning with co-operation between the classical neurotransmission and FDNP.We will develop this work from a computational neuroscience point of view, proposing a global study framework of diffusion messenger NO (GSFNO), using a hybrid natural/artificial approach.Finally it is important to note that we can consider this paper the first paper of a set of scientific work on nitric oxide (NO) and artificial neural networks (ANNs): NO and ANNs Series. We can say that this paper has a character of search and query on both subjects their implications and co-existence.en_US
dc.languageengen_US
dc.relation.ispartofAIP Conference Proceedingsen_US
dc.sourceComputing Anticipatory Systems [ISSN 0094-243X], v. 517, p. 296-307, (2000)en_US
dc.subject120304 Inteligencia artificialen_US
dc.subject2490 Neurocienciasen_US
dc.subject.otherLong-term potentiationen_US
dc.subject.otherSynaptic plasticityen_US
dc.subject.otherCarbon-monoxideen_US
dc.subject.otherHippocampusen_US
dc.subject.otherDepressionen_US
dc.subject.otherNeuronsen_US
dc.subject.otherSystemen_US
dc.subject.otherModelsen_US
dc.subject.otherMemoryen_US
dc.subject.otherRetrograde messengersen_US
dc.subject.otherNitric oxideen_US
dc.subject.otherLtpen_US
dc.subject.otherLearningen_US
dc.subject.otherArtificial neural networksen_US
dc.titleStudy and reflections on the functional and organisational role of neuromessenger nitric oxide in learning: an artificial and biological approachen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conference3rd International Conference on Computing Anticipatory Systems (CASYS 99)en_US
dc.identifier.doi10.1063/1.1291268en_US
dc.identifier.isi000088763200026-
dc.description.lastpage307en_US
dc.description.firstpage296en_US
dc.relation.volume517en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.contributor.daisngid7021095-
dc.description.numberofpages12en_US
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Araujo, S-
dc.date.coverdate2000en_US
dc.identifier.conferenceidevents120277-
dc.identifier.ulpgces
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR IUCES: Computación inteligente, percepción y big data-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0002-8826-0899-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.fullNameSuárez Araujo, Carmen Paz-
crisitem.event.eventsstartdate09-08-1999-
crisitem.event.eventsenddate14-08-1999-
Colección:Actas de congresos
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