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Advanced Data Analysis in Neuroscience: Integrating Statistical and Computational Models by Daniel Durstewitz (Hardcover, 2017)

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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

Product Identifiers

Publisher
Springer International Publishing A&G
ISBN-13
9783319599748
eBay Product ID (ePID)
238536796

Product Key Features

Author
Daniel Durstewitz
Publication Name
Advanced Data Analysis in Neuroscience: Integrating Statistical and Computational Models
Format
Hardcover
Language
English
Subject
Medicine, Biology, Mathematics, Healthcare System
Publication Year
2017
Type
Textbook
Number of Pages
292 Pages

Dimensions

Item Height
235mm
Item Width
155mm
Item Weight
6033g

Additional Product Features

Title_Author
Daniel Durstewitz
Series Title
Bernstein Series in Computational Neuroscience
Country/Region of Manufacture
Switzerland

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Advanced Data Analysis in Neuroscience: Integrating Statistical and Computational Models by Daniel Durstewitz (Hardcover, 2017)

All listings for this product

item 1 Advanced Data Analysis in Neuroscience Integrating

item 2 Advanced Data Analysis in Neuroscience: Integrating Statistical and Computationa

item 3 Advanced Data Analysis in Neuroscience - 9783319599748

item 4 Advanced Data Analysis in Neuroscience Integrating Statistical ... 9783319599748

item 5 Advanced Data Analysis in Neuroscience: Integra. Durstewitz<|

About this product

Product Information

Product Identifiers

Product Key Features

Dimensions

Additional Product Features

Best-selling in Adult Learning & University

Secrets Of Mental Math: The Mathemagician's Guide to Lightening Calculation and Amazing Maths Tricks by Arthur Benjamin, Michael Shermer (Paperback, 2006)

The Falsification of History: Our Distorted Reality by John Hamer (Paperback, 2013)

Never Split the Difference: Negotiating as if Your Life Depended on It by Chris Voss, Tahl Raz (Paperback, 2017)

Code of Practice for In-service Inspection and Testing of Electrical Equipment by The Institution of Engineering and Technology (Paperback, 2020)

Adult Children of Emotionally Immature Parents: How to Heal from Distant, Rejecting, or Self-Involved Parents by Lindsay C Gibson (Paperback, 2015)

Gaza: An Inquest into Its Martyrdom by Norman Finkelstein (Paperback, 2021)

Death's End by Cixin Liu (Paperback, 2017)

Save on Adult Learning & University

The Concise Laws of Human Nature by Greene, Robert,( English and Paperback)

Silent Spring by Rachel Carson NEW Book

Health, safety and environment test for operatives and specialists: GT100/19:...

The Red Book: A Reader's Edition by C. G. Jung (Hardcover, 2012)

Surprise, Kill, Vanish Annie Jacobsen Paperback New

Kirkpatrick's Four Levels of Training Evaluation,

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