國立虎尾科技大學 |

The fractal geometry of the brain

Record Type:	Language materials, printed : Monograph/item
Title/Author:	The fractal geometry of the brain/ edited by Antonio Di Ieva.
other author:	Di Ieva, Antonio.
Published:	New York, NY :Springer New York : : 2016.,
Description:	xxii, 585 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Brain - Mathematical models. -
Online resource:	http://dx.doi.org/10.1007/978-1-4939-3995-4
ISBN:	9781493939954

The fractal geometry of the brain
The fractal geometry of the brain[electronic resource] /edited by Antonio Di Ieva. - New York, NY :Springer New York :2016. - xxii, 585 p. :ill. (some col.), digital ;24 cm. - Springer series in computational neuroscience,2197-1900. - Springer series in computational neuroscience..

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.

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.

ISBN: 9781493939954

Standard No.: 10.1007/978-1-4939-3995-4doiSubjects--Topical Terms:

907736
Brain
--Mathematical models.

LC Class. No.: QP376

Dewey Class. No.: 612.80015118

The fractal geometry of the brain
LDR:04336nam a2200325 a 4500 001 866132
003 DE-He213
005 20160803160711.0
006 m d
007 cr nn 008maaau
008 170720s2016 nyu s 0 eng d
020 $a 9781493939954 $q (electronic bk.)
020 $a 9781493939930 $q (paper)
024 7 $a 10.1007/978-1-4939-3995-4 $2 doi
035 $a 978-1-4939-3995-4
040 $a GP $c GP
041 0 $a eng
050 4 $a QP376
072 7 $a PSAN $2 bicssc
072 7 $a MED057000 $2 bisacsh
082 0 4 $a 612.80015118 $2 23
090 $a QP376 $b .F798 2016
245 0 4 $a The fractal geometry of the brain $h [electronic resource] / $c edited by Antonio Di Ieva.
260 $a New York, NY : $b Springer New York : $b Imprint: Springer, $c 2016.
300 $a xxii, 585 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Springer series in computational neuroscience, $x 2197-1900
505 0 $a 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.
520 $a 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.
650 0 $a Brain $x Mathematical models. $3 907736
650 0 $a Fractals. $3 639711
650 1 4 $a Biomedicine. $3 593880
650 2 4 $a Neurosciences. $3 593561
650 2 4 $a Neurology. $3 593894
700 1 $a Di Ieva, Antonio. $3 1112140
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a Springer series in computational neuroscience. $3 1103652
856 4 0 $u http://dx.doi.org/10.1007/978-1-4939-3995-4
950 $a Biomedical and Life Sciences (Springer-11642)