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...
Autores principales: | , , , |
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Formato: | Artículo |
Lenguaje: | inglés |
Publicado: |
2013
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Materias: | |
Acceso en línea: | http://eprints.uanl.mx/14808/1/522.pdf |
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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 |
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