Daniel Durstewitz

Advanced Data Analysis in Neuroscience (eBook, PDF)

Integrating Statistical and Computational Models

• Format: PDF

Produktbeschreibung

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 modeling

Reviews almost all areas of applied statistics, including advanced topics for computational neuroscientists

Provides interactive examples and MATLAB-based example codes

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 292
• Erscheinungstermin: 15. September 2017
• Englisch
• ISBN-13: 9783319599762
• Artikelnr.: 53063957

Autorenporträt

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.

Inhaltsangabe

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.