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.
Series: Springer Series in Computational Neuroscience
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