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Can I read Advanced Data Analysis in Neuroscience : Integrating Statistical and Computational Models on EtoBox?

Advanced Data Analysis in Neuroscience : Integrating Statistical and Computational Models by Daniel Durstewitz is a nonfiction available to read on EtoBox.

What is Advanced Data Analysis in Neuroscience : Integrating Statistical and Computational Models about?

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

Who reads Advanced Data Analysis in Neuroscience : Integrating Statistical and Computational Models?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Daniel Durstewitz
Publisher
Springer International Publishing : Imprint : Springer
Published
2017
Language
EN
ISBN
9783319599748
Category
nonfiction
Subjects
Mathematics, Medical, Science

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