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The Fractal Geometry of the Brain

Antonio Di Ieva - Personal Name;

Reviews the most intriguing applications of fractal analysis in neuroscience with a focus on current and future potential, limits, advantages, and disadvantages. Will bring an understanding of fractals to clinicians and researchers also if they do not have a mathematical background, and will serve as a good tool for teaching the translational applications of computational models to students and scholars of different disciplines. This comprehensive collection is organized in four parts: (1) Basics of fractal analysis; (2) Applications of fractals to the basic neurosciences; (3) Applications of fractals to the clinical neurosciences; (4) Analysis software, modeling and methodology.


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Detail Information
Series Title
Springer Series in Computational Neuroscience
Call Number
-
Publisher
: Springer New York, NY., 2016
Collation
XXII, 585, 89 b/w illustrations, 86 illustrations in colour
Language
English
ISBN/ISSN
978-1-4939-3995-4
Classification
NONE
Content Type
-
Media Type
computer
Carrier Type
-
Edition
1
Subject(s)
Neurology
Neurosciences,
Specific Detail Info
-
Statement of Responsibility
Antonio Di Ieva
Other Information
Cataloger
Suwardi
Source
https://link.springer.com/book/10.1007/978-1-4939-3995-4
Validator
-
Digital Object Identifier (DOI)
-
Journal Volume
-
Journal Issue
-
Subtitle
-
Parallel Title
-
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  • The Fractal Geometry of the Brain
    Reviews the most intriguing applications of fractal analysis in neuroscience with a focus on current and future potential, limits, advantages, and disadvantages. Will bring an understanding of fractals to clinicians and researchers also if they do not have a mathematical background, and will serve as a good tool for teaching the translational applications of computational models to students and scholars of different disciplines. This comprehensive collection is organized in four parts: (1) Basics of fractal analysis; (2) Applications of fractals to the basic neurosciences; (3) Applications of fractals to the clinical neurosciences; (4) Analysis software, modeling and methodology.
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