Durstewitz daniel (43 resultados)

hardcover. Condición: New. Brand new book, sourced directly from publisher. Dispatch time is 9-10 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

hardcover. Condición: New.

Condición: New.

Hardback. Condición: New. 1st ed. 2017. 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 statistics, including advanced topics for computational neuroscientistsProvides interactive examples and MATLAB-based example codes.…

Condición: New.

Hardcover. Condición: New. Brand new book, sourced directly from publisher. Dispatch time is 9-10 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Hardcover. Condición: New. Brand new book, sourced directly from publisher. Dispatch time is 9-10 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condición: New.

Condición: New.

Condición: New. In English.

Condición: New.

Condición: As New. Unread book in perfect condition.

Buch. 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.…

Condición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Hardcover. Condición: Brand New. 1st edition. 292 pages. 9.25x6.25x1.00 inches. In Stock.

Taschenbuch. Condición: Neu. Advanced Data Analysis in Neuroscience | Integrating Statistical and Computational Models | Daniel Durstewitz | Taschenbuch | Bernstein Series in Computational Neuroscience | xxv | Englisch | 2018 | Springer | EAN 9783319867502 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Hardcover. Condición: New.

Hardcover. Condición: New.

Hardcover. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardback. Condición: New. 1st ed. 2017. 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 statistics, including advanced topics for computational neuroscientistsProvides interactive examples and MATLAB-based example codes.…

Hardcover. Condición: Brand New. German language. 10.39x7.72x0.67 inches. In Stock.

Hardcover. Condición: Brand New. German language. 10.32x7.48x0.47 inches. In Stock.

Hardcover. Condición: Brand New. German language. 10.24x7.40x0.47 inches. In Stock.

Hardcover. Condición: Brand New. German language. 10.39x7.64x0.59 inches. In Stock.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.