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The fractal geometry of the brain

Author: Antonio Di Ieva
Publisher: New York : Springer, 2016.
Series: Springer series in computational neuroscience.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Printed edition:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Antonio Di Ieva
ISBN: 9781493939954 1493939955 1493939939 9781493939930
OCLC Number: 956319297
Description: 1 online resource (xxii, 585 pages) : illustrations (some color).
Contents: Part I. Introduction to Fractal Geometry and its Applications to Neurosciences --
The Fractal Geometry of the Brain: An Overview --
2. Box-Counting Fractal Analysis: A Primer for the Clinician --
Tenets and Methods of Fractal Analysis (1/f noise) --
4. Tenets, Methods and Applications of Multifractal Analysis in Neurosciences --
Part II. Fractals in Neuroanatomy and Basic Neurosciences --
Fractals in Neuroanatomy and Basic Neurosciences: An Overview --
Morphology and Fractal-Based Classifications of Neurons and Microglia --
The Morphology of the Brain Neurons: Box-counting Method in Quantitative Analysis of 2D Image --
Neuronal Fractal Dynamics --
Does a Self-Similarity Logic Shape the Organization of the Nervous System? --
Fractality of Cranial Sutures --
The Fractal Geometry of the Human Brain: An Evolutionary Perspective --
Part III. Fractals in Clinical Neurosciences --
Fractal Analysis in Clinical Neurosciences: An Overview --
Fractal Analysis in Neurological Diseases --
Fractal Dimension Studies of the Brain Shape in Aging and Neurodegenerative Diseases --
Fractal Analysis in Neurodegenerative Diseases --
Fractal Analysis of the Cerebrovascular System Physiopathology --
Fractal and Chaos in the Hemodynamics of Intracranial Aneurysms --
Fractal-based Analysis of Arteriovenous Malformations (AVMs) --
Fractals in Neuroimaging --
Computational Fractal-Based Analysis of MR Susceptibility Weighted Imaging (SWI) in Neuro-oncology and neurotraumatology --
Texture Estimation for Abnormal Tissue Segmentation in Brain MRI --
Tumor Growth in the Brain: Complexity and Fractality --
Histological Fractal-based Classification of Brain Tumors --
Computational Fractal-based Analysis of the Brain Tumors Microvascular Networks --
Fractal analysis of electroencephalographic time-series (EEG-signals) --
On Multiscaling of Parkinsonian Rest Tremor Signals and Their Classification --
Fractals and Electromyograms --
Fractal analysis in Neuro-ophthalmology --
Fractals in Affective and Anxiety Disorders --
Fractal Fluency: An Intimate Relationship Between the Brain and Processing of Fractal Stimuli --
Part IV. Computational Fractal-Based Neurosciences --
Computational Fractal-based Neurosciences: An Overview --
ImageJ in Computational Fractal-based Neuroscience: Pattern Extraction and Translational Research --
Fractal Analysis in MATLAB: A Tutorial for Neuroscientists --
Methodology to Increase the Computational Speed to Obtain the Fractal Dimension Using GPU Programming --
Fractal Electronics as a Generic Interface to Neurons --
Fractal Geometry meets Computational Intelligence: Future Perspectives.
Series Title: Springer series in computational neuroscience.
Responsibility: Antonio Di Ieva, editor.

Abstract:

Reviews the most intriguing applications of fractal analysis in neuroscience with a focus on current and future potential, limits, advantages, and disadvantages.  Read more...

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"This is a text about computer and mathematical modeling of basic and clinical Neurological Sciences. ... Brain modelers would be interested in this book." (Joseph Grenier, Amazon.com, June, 2018)

 
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