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Idioma: Inglés
Publicado por Springer International Publishing AG, CH, 2017
ISBN 10: 3319599747 ISBN 13: 9783319599748
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 292 pages. 9.25x6.25x1.00 inches. In Stock.
Idioma: Alemán
Publicado por Cornelsen Verlag GmbH -, 2025
ISBN 10: 3060407045 ISBN 13: 9783060407040
Librería: Chiron Media, Wallingford, Reino Unido
EUR 37,00
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Idioma: Inglés
Publicado por Springer International Publishing, Springer Nature Switzerland, 2018
ISBN 10: 3319867504 ISBN 13: 9783319867502
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 60,98
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is intended for use in advanced graduate courses in statistics / machine learning, as well as for all experimental neuroscientists seeking to understand statistical methods at a deeper level, and theoretical neuroscientists with a limited background in statistics. It reviews almost all areas of applied statistics, from basic statistical estimation and test theory, linear and nonlinear approaches for regression and classification,to model selection and methods for dimensionality reduction, density estimation and unsupervised clustering. Its focus, however, is linear and nonlinear time series analysis from a dynamical systems perspective, based on which it aims to convey an understanding also of the dynamical mechanisms that could have generated observed time series. Further, it integrates computational modeling of behavioral and neural dynamics with statistical estimation and hypothesis testing. This way computational models in neuroscience are not only explanatory frameworks, but become powerful, quantitative data-analytical tools in themselves that enable researchers to look beyond the data surface and unravel underlying mechanisms. Interactive examples of most methods are provided through a package of MatLab routines, encouraging a playful approach to the subject, and providing readers with a better feel for the practical aspects of the methods covered.'Computational neuroscience is essential for integrating and providing a basis for understanding the myriads of remarkable laboratory data on nervous system functions. Daniel Durstewitz has excellently covered the breadth of computational neuroscience from statistical interpretations of data to biophysically based modeling of the neurobiological sources of those data. His presentation is clear, pedagogically sound, and readily useable by experts and beginners alike. It is a pleasure to recommend this very well crafted discussion to experimental neuroscientists as well as mathematically well versed Physicists. The book acts as a window to the issues, to the questions, and to the tools for finding the answers to interesting inquiries about brains and how they function.'Henry D. I. Abarbanel Physics and Scripps Institution of Oceanography, University of California, San Diego'This book delivers a clear and thorough introduction to sophisticated analysis approaches useful in computational neuroscience. The models described and the examples provided will help readers develop critical intuitions into what the methods reveal about data. The overall approach of the book reflects the extensive experience Prof. Durstewitz has developed as a leading practitioner of computational neuroscience. ' Bruno B. Averbeck.
Idioma: Alemán
Publicado por Cornelsen Verlag GmbH -, 2025
ISBN 10: 306040707X ISBN 13: 9783060407071
Librería: Chiron Media, Wallingford, Reino Unido
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Publicado por Cornelsen Verlag GmbH 2015-08-01, 2015
ISBN 10: 3060080070 ISBN 13: 9783060080076
Librería: Chiron Media, Wallingford, Reino Unido
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Idioma: Alemán
Publicado por Cornelsen Verlag GmbH 2018-06-01, 2018
ISBN 10: 3060098549 ISBN 13: 9783060098545
Librería: Chiron Media, Wallingford, Reino Unido
EUR 38,20
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Idioma: Alemán
Publicado por Cornelsen Verlag GmbH 2016-04-01, 2016
ISBN 10: 3060091978 ISBN 13: 9783060091973
Librería: Chiron Media, Wallingford, Reino Unido
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Idioma: Alemán
Publicado por Cornelsen Verlag GmbH 2015-08-01, 2015
ISBN 10: 3060080089 ISBN 13: 9783060080083
Librería: Chiron Media, Wallingford, Reino Unido
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Idioma: Alemán
Publicado por Cornelsen Verlag GmbH 2015-08-01, 2015
ISBN 10: 3060091897 ISBN 13: 9783060091898
Librería: Chiron Media, Wallingford, Reino Unido
EUR 38,28
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Idioma: Inglés
Publicado por Springer, Palgrave Macmillan, 2017
ISBN 10: 3319599747 ISBN 13: 9783319599748
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 69,54
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is intended for use in advanced graduate courses in statistics / machine learning, as well as for all experimental neuroscientists seeking to understand statistical methods at a deeper level, and theoretical neuroscientists with a limited background in statistics. It reviews almost all areas of applied statistics, from basic statistical estimation and test theory, linear and nonlinear approaches for regression and classification,to model selection and methods for dimensionality reduction, density estimation and unsupervised clustering. Its focus, however, is linear and nonlinear time series analysis from a dynamical systems perspective, based on which it aims to convey an understanding also of the dynamical mechanisms that could have generated observed time series. Further, it integrates computational modeling of behavioral and neural dynamics with statistical estimation and hypothesis testing. This way computational models in neuroscience are not only explanatory frameworks, but become powerful, quantitative data-analytical tools in themselves that enable researchers to look beyond the data surface and unravel underlying mechanisms. Interactive examples of most methods are provided through a package of MatLab routines, encouraging a playful approach to the subject, and providing readers with a better feel for the practical aspects of the methods covered.'Computational neuroscience is essential for integrating and providing a basis for understanding the myriads of remarkable laboratory data on nervous system functions. Daniel Durstewitz has excellently covered the breadth of computational neuroscience from statistical interpretations of data to biophysically based modeling of the neurobiological sources of those data. His presentation is clear, pedagogically sound, and readily useable by experts and beginners alike. It is a pleasure to recommend this very well crafted discussion to experimental neuroscientists as well as mathematically well versed Physicists. The book acts as a window to the issues, to the questions, and to the tools for finding the answers to interesting inquiries about brains and how they function.'Henry D. I. Abarbanel Physics and Scripps Institution of Oceanography, University of California, San Diego'This book delivers a clear and thorough introduction to sophisticated analysis approaches useful in computational neuroscience. The models described and the examples provided will help readers develop critical intuitions into what the methods reveal about data. The overall approach of the book reflects the extensive experience Prof. Durstewitz has developed as a leading practitioner of computational neuroscience. ' Bruno B. Averbeck.
Idioma: Alemán
Publicado por Cornelsen Verlag GmbH 2015-03-01, 2015
ISBN 10: 3060091889 ISBN 13: 9783060091881
Librería: Chiron Media, Wallingford, Reino Unido
EUR 38,34
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Añadir al carritoHardcover. Condición: New.
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Idioma: Inglés
Publicado por Springer International Publishing AG, CH, 2017
ISBN 10: 3319599747 ISBN 13: 9783319599748
Librería: Rarewaves.com UK, London, Reino Unido
EUR 65,84
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 60,29
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Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. German language. 10.32x7.48x0.47 inches. In Stock.