Alternative Techniques of Neural Signal Processing in Neuroengineering
Neural signal processing is a discipline within neuroengineering. This interdisciplinary approach combines principles from machine learning, signal processing theory, and computational neuroscience applied to problems in basic and clinical neuroscience. The ultimate goal of neuroengineering is a tec...
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2015 |
| País: | España |
| Institución: | UVic-UCC |
| Repositorio: | RiUVic. Repositori institucional de la UVic-UCC |
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| Acceso en línea: | http://hdl.handle.net/10854/3948 https://doi.org/10.1007/s12559-015-9317-0 |
| Access Level: | acceso abierto |
| Palabra clave: | Xarxes neuronals (Informàtica) |
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Alternative Techniques of Neural Signal Processing in NeuroengineeringSolé-Casals, JordiVialatte, François B.Dauwels, JustinXarxes neuronals (Informàtica)Neural signal processing is a discipline within neuroengineering. This interdisciplinary approach combines principles from machine learning, signal processing theory, and computational neuroscience applied to problems in basic and clinical neuroscience. The ultimate goal of neuroengineering is a technological revolution, where machines would interact in real time with the brain. Machines and brains could interface, enabling normal function in cases of injury or disease, brain monitoring, and/or medical rehabilitation of brain disorders. Much current research in neuroengineering is focused on understanding the coding and processing of information in the sensory and motor systems, quantifying how this processing is altered in the pathological state, and how it can be manipulated through interactions with artificial devices including brain–computer interfaces and neuroprosthetics.SpringerUniversitat de Vic. Escola Politècnica Superior2015201520152015info:eu-repo/semantics/articleinfo:eu-repo/acceptedVersionapplication/pdf3 p.application/pdfhttp://hdl.handle.net/10854/3948https://doi.org/10.1007/s12559-015-9317-0reponame:RiUVic. Repositori institucional de la UVic-UCCinstname:UVic-UCCInglésTots els drets reservats(c) Springer (The original publication is available at www.springerlink.com)info:eu-repo/semantics/openAccessoai:dspace.uvic.cat:10854/39482026-06-07T19:15:21Z |
| dc.title.none.fl_str_mv |
Alternative Techniques of Neural Signal Processing in Neuroengineering |
| title |
Alternative Techniques of Neural Signal Processing in Neuroengineering |
| spellingShingle |
Alternative Techniques of Neural Signal Processing in Neuroengineering Solé-Casals, Jordi Xarxes neuronals (Informàtica) |
| title_short |
Alternative Techniques of Neural Signal Processing in Neuroengineering |
| title_full |
Alternative Techniques of Neural Signal Processing in Neuroengineering |
| title_fullStr |
Alternative Techniques of Neural Signal Processing in Neuroengineering |
| title_full_unstemmed |
Alternative Techniques of Neural Signal Processing in Neuroengineering |
| title_sort |
Alternative Techniques of Neural Signal Processing in Neuroengineering |
| dc.creator.none.fl_str_mv |
Solé-Casals, Jordi Vialatte, François B. Dauwels, Justin |
| author |
Solé-Casals, Jordi |
| author_facet |
Solé-Casals, Jordi Vialatte, François B. Dauwels, Justin |
| author_role |
author |
| author2 |
Vialatte, François B. Dauwels, Justin |
| author2_role |
author author |
| dc.contributor.none.fl_str_mv |
Universitat de Vic. Escola Politècnica Superior |
| dc.subject.none.fl_str_mv |
Xarxes neuronals (Informàtica) |
| topic |
Xarxes neuronals (Informàtica) |
| description |
Neural signal processing is a discipline within neuroengineering. This interdisciplinary approach combines principles from machine learning, signal processing theory, and computational neuroscience applied to problems in basic and clinical neuroscience. The ultimate goal of neuroengineering is a technological revolution, where machines would interact in real time with the brain. Machines and brains could interface, enabling normal function in cases of injury or disease, brain monitoring, and/or medical rehabilitation of brain disorders. Much current research in neuroengineering is focused on understanding the coding and processing of information in the sensory and motor systems, quantifying how this processing is altered in the pathological state, and how it can be manipulated through interactions with artificial devices including brain–computer interfaces and neuroprosthetics. |
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2015 |
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2015 2015 2015 2015 |
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info:eu-repo/semantics/article info:eu-repo/acceptedVersion |
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article |
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http://hdl.handle.net/10854/3948 https://doi.org/10.1007/s12559-015-9317-0 |
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http://hdl.handle.net/10854/3948 https://doi.org/10.1007/s12559-015-9317-0 |
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Inglés |
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Inglés |
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Tots els drets reservats (c) Springer (The original publication is available at www.springerlink.com) info:eu-repo/semantics/openAccess |
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Tots els drets reservats (c) Springer (The original publication is available at www.springerlink.com) |
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openAccess |
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application/pdf 3 p. application/pdf |
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Springer |
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Springer |
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