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Advances in sensing, signal processing, and computer technology during the past half century have stimulated numerous attempts to design general-purpose ma chines that see. These attempts have met with at best modest success and more typically outright failure. The difficulties encountered in building working com puter vision systems based on state-of-the-art techniques came as a surprise. Perhaps the most frustrating aspect of the problem is that machine vision sys tems cannot deal with numerous visual tasks that humans perform rapidly and effortlessly. In reaction to this perceived discrepancy in performance, various researchers (notably Marr, 1982) suggested that the design of machine-vision systems should be based on principles drawn from the study of biological systems. This "neuro morphic" or "anthropomorphic" approach has proven fruitful: the use of pyramid (multiresolution) image representation methods in image compression is one ex ample of a successful application based on principles primarily derived from the study of biological vision systems. It is still the case, however, that the perfor of computer vision systems falls far short of that of the natural systems mance they are intended to mimic, suggesting that it is time to look even more closely at the remaining differences between artificial and biological vision systems."
Advances in sensing, signal processing, and computer technology during the past half century have stimulated numerous attempts to design general-purpose ma chines that see. These attempts have met with at best modest success and more typically outright failure. The difficulties encountered in building working com puter vision systems based on state-of-the-art techniques came as a surprise. Perhaps the most frustrating aspect of the problem is that machine vision sys tems cannot deal with numerous visual tasks that humans perform rapidly and effortlessly. In reaction to this perceived discrepancy in performance, various researchers (notably Marr, 1982) suggested that the design of machine-vision systems should be based on principles drawn from the study of biological systems. This "neuro morphic" or "anthropomorphic" approach has proven fruitful: the use of pyramid (multiresolution) image representation methods in image compression is one ex ample of a successful application based on principles primarily derived from the study of biological vision systems. It is still the case, however, that the perfor of computer vision systems falls far short of that of the natural systems mance they are intended to mimic, suggesting that it is time to look even more closely at the remaining differences between artificial and biological vision systems."
Sabia usted que hoy se crearan varios miles de neuronas nuevas en su cerebro? Y que lo que haga, piense y sienta hoy determinara tanto la supervivencia como el efecto de esas nuevas neuronas, y de las que ya tenia antes? Estos son algunos de los temas que aborda "Como invertir en su cerebro," el nuevo libro que recorre las ultimas tendencias de un campo tan apasionante e importante como la ciencia del cerebro y la neuroplasticidad. Todos sabemos que debemos invertir en nuestra salud, en nuestra educacion, en nuestra carrera profesional o en nuestros planes de ahorro. Pero pocos sabemos por que invertir, y como, en nuestro recurso mas importante: el cerebro. Para llenar ese vacio, "Como invertir en su cerebro" proporciona al lector una guia estimulante y practica, llena de informacion contrastada y consejos personalizados, para mejorar el rendimiento actual y futuro de su cerebro, enriqueciendo asi su mente y su vida. Cualquiera que sea su objetivo, como el manejar mejor su estres cotidiano, aumentar su atencion y memoria, demostrar un mejor desempeno en el trabajo o retrasar problemas cognitivos como la enfermedad de Alzheimer, esta obra le explicara al detalle como pasar de la teoria a la practica, combinando un entendimiento general con unas pautas especificas. "Como invertir en su cerebro: Una guia SharpBrains para mejorar su mente y su vida" es la primera publicacion en espanol de SharpBrains, una organizacion reconocida a nivel internacional que investiga como mejorar la salud, la educacion y la formacion a traves de la ciencia del cerebro y la innovacion. El libro se basa en un analisis objetivo de cientos de estudios cientificos publicados en los ultimos diez anos y en decenas de entrevistas en profundidad con distinguidos cientificos. Ademas "Como invertir en su cerebro" refleja las conclusiones de varias cumbres organizadas por SharpBrains desde el ano 2010, con centenares de expertos de primer nivel. Si alguna vez ha invertido usted en su bienestar fisico, en su formacion academica, en su matrimonio, en sus amistades o en su vivienda, quiza ahora sea el momento de preguntarse como puede invertir en su cerebro. Este libro sera su mejor guia. Elogios "Una lectura estimulante y un reto al mismo tiempo, con informacion solida y consejos practicos para mejorar la salud de nuestro cerebro." - Kirkus Reviews "Una referencia esencial." - Dr. Walter Jesssen, Fundador y Editor, Highlight Health "Un recurso imprescindible para ayudarnos a entender mejor nuestro cerebro y nuestra mente." - Susan E. Hoffman, Directora, UC Berkeley Osher Lifelong Learning Institute ..".el mejor analisis sobre las implicaciones de la neurociencia para el desarrollo personal y profesional." - Ed Batista, Experto en Liderazgo, Escuela Superior de Negocios de la Universidad de Stanford " Gracias Este libro esta lleno de informacion de primera clase y de consejos practicos." - Dr. Elizabeth Edgerly, Jefe de Programas de la Alzheimer's Association
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