Generation of a Reconfigurable Logical Cell Using Evolutionary Computation

Adaptation in nature is a relevant research area that has many applications in artificial systems, which can be used for the benefit of society. Particularly in biology, a neuron can reconfigure itself to develop different tasks using the same structure; however, this procedure is a mystery. The...

Descripción completa

Detalles Bibliográficos
Autores principales: Campos Cantón, I., Torres Treviño, Luis Martín, Campos Cantón, E., Femat, Ricardo
Formato: Artículo
Lenguaje:inglés
Publicado: 2013
Materias:
Acceso en línea:http://eprints.uanl.mx/14808/1/522.pdf
_version_ 1824414148244537344
author Campos Cantón, I.
Torres Treviño, Luis Martín
Campos Cantón, E.
Femat, Ricardo
author_facet Campos Cantón, I.
Torres Treviño, Luis Martín
Campos Cantón, E.
Femat, Ricardo
author_sort Campos Cantón, I.
collection Repositorio Institucional
description Adaptation in nature is a relevant research area that has many applications in artificial systems, which can be used for the benefit of society. Particularly in biology, a neuron can reconfigure itself to develop different tasks using the same structure; however, this procedure is a mystery. The processes of adaptation, learning, and coupling between them have been research pursuits therein, and the understanding of this processes can help to build artificial devices.The act of joining living tissue with electronics has long been imagined in the world of science fiction, but cybernetic organisms are now one step closer to reality, thanks to work emerging from researchers that have built tiny electronic meshes out of silicon nanowires and have used them as scaffolds to grow nerve, heart, and muscle tissue
format Article
id eprints-14808
institution UANL
language English
publishDate 2013
record_format eprints
spelling eprints-148082021-05-19T01:14:10Z http://eprints.uanl.mx/14808/ Generation of a Reconfigurable Logical Cell Using Evolutionary Computation Campos Cantón, I. Torres Treviño, Luis Martín Campos Cantón, E. Femat, Ricardo QA Matemáticas, Ciencias computacionales Adaptation in nature is a relevant research area that has many applications in artificial systems, which can be used for the benefit of society. Particularly in biology, a neuron can reconfigure itself to develop different tasks using the same structure; however, this procedure is a mystery. The processes of adaptation, learning, and coupling between them have been research pursuits therein, and the understanding of this processes can help to build artificial devices.The act of joining living tissue with electronics has long been imagined in the world of science fiction, but cybernetic organisms are now one step closer to reality, thanks to work emerging from researchers that have built tiny electronic meshes out of silicon nanowires and have used them as scaffolds to grow nerve, heart, and muscle tissue 2013 Article PeerReviewed text en cc_by_nc_nd http://eprints.uanl.mx/14808/1/522.pdf http://eprints.uanl.mx/14808/1.haspreviewThumbnailVersion/522.pdf Campos Cantón, I. y Torres Treviño, Luis Martín y Campos Cantón, E. y Femat, Ricardo (2013) Generation of a Reconfigurable Logical Cell Using Evolutionary Computation. Discrete Dynamics in Nature and Society, 2013. pp. 1-4. ISSN 1026-0226 http://doi.org/10.1155/2013/250593 doi:10.1155/2013/250593
spellingShingle QA Matemáticas, Ciencias computacionales
Campos Cantón, I.
Torres Treviño, Luis Martín
Campos Cantón, E.
Femat, Ricardo
Generation of a Reconfigurable Logical Cell Using Evolutionary Computation
thumbnail https://rediab.uanl.mx/themes/sandal5/images/online.png
title Generation of a Reconfigurable Logical Cell Using Evolutionary Computation
title_full Generation of a Reconfigurable Logical Cell Using Evolutionary Computation
title_fullStr Generation of a Reconfigurable Logical Cell Using Evolutionary Computation
title_full_unstemmed Generation of a Reconfigurable Logical Cell Using Evolutionary Computation
title_short Generation of a Reconfigurable Logical Cell Using Evolutionary Computation
title_sort generation of a reconfigurable logical cell using evolutionary computation
topic QA Matemáticas, Ciencias computacionales
url http://eprints.uanl.mx/14808/1/522.pdf
work_keys_str_mv AT camposcantoni generationofareconfigurablelogicalcellusingevolutionarycomputation
AT torrestrevinoluismartin generationofareconfigurablelogicalcellusingevolutionarycomputation
AT camposcantone generationofareconfigurablelogicalcellusingevolutionarycomputation
AT fematricardo generationofareconfigurablelogicalcellusingevolutionarycomputation