Advanced Data Analysis in Neuroscience: Integrating Statistical and Computational Models
Author:   Daniel Durstewitz
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2017
ISBN:  

9783319599748


Pages:   292
Publication Date:   02 October 2017
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Advanced Data Analysis in Neuroscience: Integrating Statistical and Computational Models


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Author:   Daniel Durstewitz
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2017
Weight:   6.033kg
ISBN:  

9783319599748


ISBN 10:   3319599747
Pages:   292
Publication Date:   02 October 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Statistical Inference.- Regression Problems.- Classification Problems.- Model Complexity and Selection.- Clustering and Density Estimation.- Dimensionality Reduction.- Linear Time Series Analysis.- Nonlinear Concepts in Time Series Analysis.- Time Series From a Nonlinear Dynamical Systems Perspective.

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Author Information

Daniel Durstewitz is Professor for Theoretical Neuroscience and Head of the Department of Theoretical Neuroscience at the Central Institute of Mental Health, Mannheim, and the University of Heidelberg. He is also the coordinator and a director of the Bernstein Center for Computational Neuroscience Heidelberg-Mannheim. He has authored numerous articles in the fields of theoretical and computational neuroscience, applying and advancing various statistical and modeling techniques. Together with Jeremy Seamans, he has also developed an influential computational theory of dopamine function in the prefrontal cortex.

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