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Fractal Geometry of the Brain 1st ed. 2016 [Kietas viršelis]

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  • Formatas: Hardback, 585 pages, aukštis x plotis: 235x155 mm, 86 Illustrations, color; 89 Illustrations, black and white; XXII, 585 p. 175 illus., 86 illus. in color., 1 Hardback
  • Serija: Springer Series in Computational Neuroscience
  • Išleidimo metai: 04-Aug-2016
  • Leidėjas: Springer-Verlag New York Inc.
  • ISBN-10: 1493939939
  • ISBN-13: 9781493939930
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 585 pages, aukštis x plotis: 235x155 mm, 86 Illustrations, color; 89 Illustrations, black and white; XXII, 585 p. 175 illus., 86 illus. in color., 1 Hardback
  • Serija: Springer Series in Computational Neuroscience
  • Išleidimo metai: 04-Aug-2016
  • Leidėjas: Springer-Verlag New York Inc.
  • ISBN-10: 1493939939
  • ISBN-13: 9781493939930
Kitos knygos pagal šią temą:
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.

Recenzijos

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
1 The Fractal Geometry of the Brain: An Overview
3(10)
Antonio Di Leva
2 Box-Counting Fractal Analysis: A Primer for the Clinician
13(32)
Audrey L. Karperien
Herbert F. Jelinek
3 Tenets and Methods of Fractal Analysis (1/f Noise)
45(20)
Tatjana Stadnitski
4 Tenets, Methods, and Applications of Multifractal Analysis in Neurosciences
65(18)
Renaud Lopes
Antoine Ayache
Part II Fractals in Neuroanatomy and Basic Neurosciences
5 Fractals in Neuroanatomy and Basic Neurosciences: An Overview
83(8)
Antonio Di Leva
6 Morphology and Fractal-Based Classifications of Neurons and Microglia
91(18)
Audrey L. Karperien
Herbert F. Jelinek
7 The Morphology of the Brain Neurons: Box-Counting Method in Quantitative Analysis of 2D Image
109(18)
Nebojsa Milosevic
8 Neuronal Fractal Dynamics
127(10)
Malgorzata Kolodziej
Przemyslaw Waliszewski
9 Does a Self-Similarity Logic Shape the Organization of the Nervous System?
137(20)
Diego Guidolin
Cinzia Tortorella
Raffaele De Caro
Luigi F. Agnati
10 Fractality of Cranial Sutures
157(12)
Takashi Miura
11 The Fractal Geometry of the Human Brain: An Evolutionary Perspective
169(20)
Michel A. Hofman
Part III Fractals in Clinical Neurosciences
12 Fractal Analysis in Clinical Neurosciences: An Overview
189(10)
Antonio Di Leva
13 Fractal Analysis in Neurological Diseases
199(14)
Francisco J. Esteban
Leticia Diaz Beltran
Antonio Di Leva
14 Fractal Dimension Studies of the Brain Shape in Aging and Neurodegenerative Diseases
213(20)
Luduan Zhang
Guang H. Yue
15 Fractal Analysis in Neurodegenerative Diseases
233(18)
Daniel Pirici
Laurentiu Mogoanta
Daniela Adriana Ion
Samir Kumar-Singh
16 Fractal Analysis of the Cerebrovascular System Physiopathology
251(12)
Martin Soehle
17 Fractals and Chaos in the Hemodynamics of Intracranial Aneurysms
263(16)
Gabor Zavodszky
Gyorgy Karolyi
Istvan Szikora
Gyorgy Paal
18 Fractal-Based Analysis of Arteriovenous Malformations (AVMs)
279(16)
Antonio Di Leva
Gemot Reishofer
19 Fractals in Neuroimaging
295(16)
Salim Lahmiri
Mounir Boukadoum
Antonio Di Leva
20 Computational Fractal-Based Analysis of MR Susceptibility-Weighted Imaging (SWI) in Neuro-oncology and Neurotraumatology
311(22)
Antonio Di Leva
21 Texture Estimation for Abnormal Tissue Segmentation in Brain MRI
333(18)
Syed M.S. Reza
Atiq Islam
Khan M. Iftekharuddin
22 Tumor Growth in the Brain: Complexity and Fractality
351(20)
Miguel Martin-Landrove
Antonio Bru
Antonio Rueda-Toicen
Francisco Torres-Hoyos
23 Histological Fractal-Based Classification of Brain Tumors
371(22)
Omar S. Al-Kadi
Antonio Di Leva
24 Computational Fractal-Based Analysis of Brain Tumor Microvascular Networks
393(20)
Antonio Di Leva
Omar S. Al-Kadi
25 Fractal Analysis of Electroencephalographic Time Series (EEG Signals)
413(18)
Wlodzimierz Klonowski
26 On Multiscaling of Parkinsonian Rest Tremor Signals and Their Classification
431(14)
Lorenzo Livi
27 Fractals and Electromyograms
445(12)
Sridhar Poosapadi Arjunan
Dinesh Kant Kumar
28 Fractal Analysis in Neuro-ophthalmology
457(14)
Giorgio Bianciardi
Maria Eugenia Latronico
Claudio Traversi
29 Fractals in Affective and Anxiety Disorders
471(14)
Sergio Iglesias-Parro
Maria Felipa Soriano
Antonio Jose Ibanez-Molina
30 Fractal Fluency: An Intimate Relationship Between the Brain and Processing of Fractal Stimuli
485(14)
Richard P. Taylor
Branka Spehar
Part IV Computational Fractal-Based Neurosciences
31 Computational Fractal-Based Neurosciences: An Overview
499(4)
Antonio Di Leva
32 Image J in Computational Fractal-Based Neuroscience: Pattern Extraction and Translational Research
503(20)
Audrey L. Karperien
Herbert F. Jelinek
33 Fractal Analysis in MATLAB: A Tutorial for Neuroscientists
523(10)
Juan Ruiz de Miras
34 Methodology to Increase the Computational Speed to Obtain the Fractal Dimension Using GPU Programming
533(20)
Juan Ruiz de Miras
Jesus Jimenez Ibanez
35 Fractal Electronics as a Generic Interface to Neurons
553(14)
William J. Watterson
Saba M. Moslehi
Julian H. Smith
Rick D. Montgomery
Richard P. Taylor
36 Fractal Geometry Meets Computational Intelligence: Future Perspectives
567
Lorenzo Livi
Alireza Sadeghian
Antonio Di Leva
Erratum 1(580)
Index 581