Advanced Data Analysis Neuroscience by Durstewitz Daniel (23 results)
Language: English
Published by Springer, 2017
Series: Bernstein Series in Computational Neuroscience, Book 1 of 1. Book 1 of 1 - Bernstein Series in Computational Neuroscience
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Published by Springer, 2017
Series: Bernstein Series in Computational Neuroscience, Book 1 of 1. Book 1 of 1 - Bernstein Series in Computational Neuroscience
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Series: Bernstein Series in Computational Neuroscience, Book 1 of 1. Book 1 of 1 - Bernstein Series in Computational Neuroscience
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Language: English
Published by Springer, 2017
Series: Bernstein Series in Computational Neuroscience, Book 1 of 1. Book 1 of 1 - Bernstein Series in Computational Neuroscience
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Language: English
Published by Springer, 2017
Series: Bernstein Series in Computational Neuroscience, Book 1 of 1. Book 1 of 1 - Bernstein Series in Computational Neuroscience
- Hardcover
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Language: English
Published by Springer, 2017
Series: Bernstein Series in Computational Neuroscience, Book 1 of 1. Book 1 of 1 - Bernstein Series in Computational Neuroscience
- Hardcover
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Language: English
Published by Springer, 2017
Series: Bernstein Series in Computational Neuroscience, Book 1 of 1. Book 1 of 1 - Bernstein Series in Computational Neuroscience
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Language: English
Published by Springer, 2017
Series: Bernstein Series in Computational Neuroscience, Book 1 of 1. Book 1 of 1 - Bernstein Series in Computational Neuroscience
- Hardcover
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Language: English
Published by Springer, 2017
Series: Bernstein Series in Computational Neuroscience, Book 1 of 1. Book 1 of 1 - Bernstein Series in Computational Neuroscience
- Hardcover
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Language: English
Published by Springer International Publishing, Springer Nature Switzerland, 2018
Series: Bernstein Series in Computational Neuroscience, Book 1 of 1. Book 1 of 1 - Bernstein Series in Computational Neuroscience
- Softcover
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Taschenbuch. Condition: 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.
Language: English
Published by Springer, Palgrave Macmillan, 2017
Series: Bernstein Series in Computational Neuroscience, Book 1 of 1. Book 1 of 1 - Bernstein Series in Computational Neuroscience
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: 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 backgr…ound 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.
Language: English
Published by Springer, 2017
Series: Bernstein Series in Computational Neuroscience, Book 1 of 1. Book 1 of 1 - Bernstein Series in Computational Neuroscience
- Hardcover
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Hardcover. Condition: New. New. book.
Language: English
Published by Springer International Publishing AG, CH, 2017
Series: Bernstein Series in Computational Neuroscience, Book 1 of 1. Book 1 of 1 - Bernstein Series in Computational Neuroscience
- Hardcover
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Hardback. Condition: New. 1st ed. 2017.
Language: English
Published by Springer, 2018
Series: Bernstein Series in Computational Neuroscience, Book 1 of 1. Book 1 of 1 - Bernstein Series in Computational Neuroscience
- Softcover
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Language: English
Published by Springer, 2018
Series: Bernstein Series in Computational Neuroscience, Book 1 of 1. Book 1 of 1 - Bernstein Series in Computational Neuroscience
- Softcover
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Language: English
Published by Springer, 2017
Series: Bernstein Series in Computational Neuroscience, Book 1 of 1. Book 1 of 1 - Bernstein Series in Computational Neuroscience
- Hardcover
- Print on Demand
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Language: English
Published by Springer International Publishing, Springer Nature Switzerland Aug 2018, 2018
Series: Bernstein Series in Computational Neuroscience, Book 1 of 1. Book 1 of 1 - Bernstein Series in Computational Neuroscience
- Softcover
- Print on Demand
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 neuroscientist…s 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 320 pp. Englisch.
Language: English
Published by Springer International Publishing Okt 2017, 2017
Series: Bernstein Series in Computational Neuroscience, Book 1 of 1. Book 1 of 1 - Bernstein Series in Computational Neuroscience
- Hardcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 320 pp. Englisch.
Language: English
Published by Springer, 2018
Series: Bernstein Series in Computational Neuroscience, Book 1 of 1. Book 1 of 1 - Bernstein Series in Computational Neuroscience
- Softcover
- Print on Demand
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Language: English
Published by Springer International Publishing, 2018
Series: Bernstein Series in Computational Neuroscience, Book 1 of 1. Book 1 of 1 - Bernstein Series in Computational Neuroscience
- Softcover
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Designed for use as a textbook in statistics for students from the neuro- and biosciences Integrates statistical analysis with a dynamical systems perspective and computational modelingReviews almost all areas… of applied stati.
Language: English
Published by Springer International Publishing, 2017
Series: Bernstein Series in Computational Neuroscience, Book 1 of 1. Book 1 of 1 - Bernstein Series in Computational Neuroscience
- Hardcover
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Designed for use as a textbook in statistics for students from the neuro- and biosciences Integrates statistical analysis with a dynamical systems perspective and computational modelingReviews almost… all areas of applied stati.
Language: English
Published by Springer, Palgrave Macmillan Aug 2018, 2018
Series: Bernstein Series in Computational Neuroscience, Book 1 of 1. Book 1 of 1 - Bernstein Series in Computational Neuroscience
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Designed for use as a textbook in statistics for students from the neuro- and biosciencesIntegrates statistical analysis with a dynamical systems perspective and computational modelingReviews almost all areas of applied statistics, incl…uding advanced topics for computational neuroscientistsProvides interactive examples and MATLAB-based example codesSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 320 pp. Englisch.
Language: English
Published by Springer, Palgrave Macmillan Okt 2017, 2017
Series: Bernstein Series in Computational Neuroscience, Book 1 of 1. Book 1 of 1 - Bernstein Series in Computational Neuroscience
- Hardcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Designed for use as a textbook in statistics for students from the neuro- and biosciencesIntegrates statistical analysis with a dynamical systems perspective and computational modelingReviews almost all areas of applied statistics, including a…dvanced topics for computational neuroscientistsProvides interactive examples and MATLAB-based example codesSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 320 pp. Englisch.
