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Fractal Geometry of the Brain Softcover Reprint of the Original 1st 2016 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 585 pages, kõrgus x laius: 235x155 mm, kaal: 9124 g, 86 Illustrations, color; 89 Illustrations, black and white; XXII, 585 p. 175 illus., 86 illus. in color., 1 Paperback / softback
  • Sari: Springer Series in Computational Neuroscience
  • Ilmumisaeg: 20-Jun-2018
  • Kirjastus: Springer-Verlag New York Inc.
  • ISBN-10: 149398148X
  • ISBN-13: 9781493981489
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Fractal Geometry of the Brain Softcover Reprint of the Original 1st 2016 ed.Suurem pilt
  • Formaat: Paperback / softback, 585 pages, kõrgus x laius: 235x155 mm, kaal: 9124 g, 86 Illustrations, color; 89 Illustrations, black and white; XXII, 585 p. 175 illus., 86 illus. in color., 1 Paperback / softback
  • Sari: Springer Series in Computational Neuroscience
  • Ilmumisaeg: 20-Jun-2018
  • Kirjastus: Springer-Verlag New York Inc.
  • ISBN-10: 149398148X
  • ISBN-13: 9781493981489
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781493981489.html
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.

Arvustused

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)

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 Studiesof 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