Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/57054
Campo DC | Valor | idioma |
---|---|---|
dc.contributor.author | Moreno Díaz, Roberto | en_US |
dc.date.accessioned | 2019-10-11T16:34:25Z | - |
dc.date.available | 2019-10-11T16:34:25Z | - |
dc.date.issued | 1991 | en_US |
dc.identifier.issn | 1130-4723 | en_US |
dc.identifier.other | Dialnet | |
dc.identifier.uri | http://hdl.handle.net/10553/57054 | - |
dc.description.abstract | The main way to decipher functions associated to neural structures is to determine what messages are sent by the neurons and how they are coded. So far, the only way to find out microscopically what is going on in a cell is to record its electrical activity. As we move from receptors along the nervous system, the degree of semantic complexity of the input increases. Function becomes fuzzy. An alternative methodology, analyzing the structure that optimizes a function is presented here, showing that an optimality criterion may be applied to photoreceptors in severa! animal species. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | Revista de la Academia Canaria de Ciencias | en_US |
dc.source | Revista de la Academia Canaria de Ciencias = Folia Canariensis Academiae Scientiarum [ISSN 1130-4723], v. 3 (2), p. 89-94 | en_US |
dc.subject | 120304 Inteligencia artificial | en_US |
dc.subject.other | Rod vision | en_US |
dc.subject.other | Optimality | en_US |
dc.subject.other | Detectors | en_US |
dc.subject.other | Semantic complexity | en_US |
dc.title | The natural design of visual machinery | en_US |
dc.type | info:eu-repo/semantics/article | en_US |
dc.type | Article | en_US |
dc.identifier.url | http://dialnet.unirioja.es/servlet/articulo?codigo=2905192 | - |
dc.description.lastpage | 94 | - |
dc.identifier.issue | 2 | - |
dc.description.firstpage | 89 | - |
dc.relation.volume | 3 | - |
dc.investigacion | Ingeniería y Arquitectura | en_US |
dc.type2 | Artículo | en_US |
dc.contributor.authordialnetid | 1213705 | - |
dc.identifier.dialnet | 2905192ARTREV | - |
dc.identifier.ulpgc | Sí | es |
item.grantfulltext | open | - |
item.fulltext | Con texto completo | - |
crisitem.author.dept | GIR IUCES: Computación inteligente, percepción y big data | - |
crisitem.author.dept | IU de Cibernética, Empresa y Sociedad (IUCES) | - |
crisitem.author.parentorg | IU de Cibernética, Empresa y Sociedad (IUCES) | - |
crisitem.author.fullName | Moreno Díaz,Roberto | - |
Colección: | Artículos |
Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.