000 | 04922nam a22004695i 4500 | ||
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001 | 978-1-4939-3995-4 | ||
003 | DE-He213 | ||
005 | 20180206183140.0 | ||
007 | cr nn 008mamaa | ||
008 | 160803s2016 xxu| s |||| 0|eng d | ||
020 |
_a9781493939954 _9978-1-4939-3995-4 |
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050 | 4 | _aRC321-580 | |
072 | 7 |
_aPSAN _2bicssc |
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072 | 7 |
_aMED057000 _2bisacsh |
|
082 | 0 | 4 |
_a612.8 _223 |
245 | 1 | 4 |
_aThe Fractal Geometry of the Brain _h[recurso electrónico] / _cedited by Antonio Di Ieva. |
264 | 1 |
_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2016. |
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300 |
_aXXII, 585 p. 175 illus., 86 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSpringer Series in Computational Neuroscience, _x2197-1900 |
|
505 | 0 | _aPart 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 | _aReviews 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 | _aMedicine. | |
650 | 0 | _aNeurosciences. | |
650 | 0 | _aNeurology. | |
650 | 1 | 4 | _aBiomedicine. |
650 | 2 | 4 | _aNeurosciences. |
650 | 2 | 4 | _aNeurology. |
700 | 1 |
_aDi Ieva, Antonio. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9781493939930 |
830 | 0 |
_aSpringer Series in Computational Neuroscience, _x2197-1900 |
|
856 | 4 | 0 |
_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-1-4939-3995-4 |
912 | _aZDB-2-SBL | ||
942 | _cLIBRO_ELEC | ||
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_c227911 _d227911 |