The new edition of the highly popular, The Fractal Geometry of the Brain, reviews the most intriguing applications of fractal analysis in neuroscience with a focus on current and future potential, limits, advantages, and disadvantages. It brings an understanding of fractals to clinicians and researchers even if they do not have a mathematical background, and it serves as a valuable tool for teaching the translational applications of computational fractal-based models to both students and scholars. As a consequence of the novel research developed at Professor Di Ieva's laboratory and other centers around the world, the second edition will explore the use of computational fractal-based analysis in many clinical disciplines and different fields of research, including neurology and neurosurgery, neuroanatomy and psychology, magnetoencephalography (MEG), eye-tracking devices (for the fractal computational characterization of “scanpaths”),deep learning in image analysis, radiomics for the characterization of brain MRIs, characterization of neuropsychological and psychiatric diseases and traits, signal complexity analysis in time series, and functional MRI, amongst others.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Antonio Di Ieva, MD, PhD, FRACS, is Professor of Neurosurgery at Macquarie Medical School, Macquarie University, Sydney, Australia; Professor of Neurosurgery, Ministry of Education, University and Research, Italy; Associate Professor of Neuroanatomy, Medical University of Vienna, Austria; Fellow of the Australian Research Council (ARC) and of the Royal Australasian College of Surgeons (RACS); Consultant Neurosurgeon, Macquarie Neurosurgery, Sydney, Australia; Founder and Head of the Computational NeuroSurgery (CNS) Lab at Macquarie University, Sydney, Australia; Neuroscience & AI Program Leader, Centre for Applied Artificial Intelligence, Macquarie University, Sydney, Australia
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The new edition of the highly popular, The Fractal Geometry of the Brain, reviews the most intriguing applications of fractal analysis in neuroscience with a focus on current and future potential, limits, advantages, and disadvantages. It brings an understanding of fractals to clinicians and researchers even if they do not have a mathematical background, and it serves as a valuable tool for teaching the translational applications of computationalfractal-basedmodels to both students and scholars. As a consequence of the novel research developed atProfessorDi Ieva's laboratory and other centers around the world, the second edition will explore the use of computational fractal-based analysis inmany clinical disciplines and differentfields of research, includingneurology and neurosurgery, neuroanatomy and psychology,magnetoencephalography (MEG), eye-tracking devices (for the fractal computational characterization of 'scanpaths'),deep learning in image analysis, radiomics for the characterization of brain MRIs, characterization of neuropsychological and psychiatric diseases and traits, signal complexity analysis in time series, and functional MRI,amongst others. 1036 pp. Englisch. N° de réf. du vendeur 9783031476082
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Taschenbuch. Etat : Neu. The Fractal Geometry of the Brain | Antonio Di Ieva | Taschenbuch | Advances in Neurobiology | xxix | Englisch | 2025 | Springer | EAN 9783031476082 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 131822347
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The new edition of the highly popular, The Fractal Geometry of the Brain, reviews the most intriguing applications of fractal analysis in neuroscience with a focus on current and future potential, limits, advantages, and disadvantages. It brings an understanding of fractals to clinicians and researchers even if they do not have a mathematical background, and it serves as a valuable tool for teaching the translational applications of computational fractal-based models to both students and scholars. As a consequence of the novel research developed at Professor Di Ieva's laboratory and other centers around the world, the second edition will explore the use of computational fractal-based analysis in many clinical disciplines and different fields of research, including neurology and neurosurgery, neuroanatomy and psychology, magnetoencephalography (MEG), eye-tracking devices (for the fractal computational characterization of 'scanpaths'),deep learning in image analysis, radiomics for the characterization of brain MRIs, characterization of neuropsychological and psychiatric diseases and traits, signal complexity analysis in time series, and functional MRI, amongst others.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 1036 pp. Englisch. N° de réf. du vendeur 9783031476082
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The new edition of the highly popular, The Fractal Geometry of the Brain, reviews the most intriguing applications of fractal analysis in neuroscience with a focus on current and future potential, limits, advantages, and disadvantages. It brings an understanding of fractals to clinicians and researchers even if they do not have a mathematical background, and it serves as a valuable tool for teaching the translational applications of computationalfractal-basedmodels to both students and scholars. As a consequence of the novel research developed atProfessorDi Ieva's laboratory and other centers around the world, the second edition will explore the use of computational fractal-based analysis inmany clinical disciplines and differentfields of research, includingneurology and neurosurgery, neuroanatomy and psychology,magnetoencephalography (MEG), eye-tracking devices (for the fractal computational characterization of 'scanpaths'),deep learning in image analysis, radiomics for the characterization of brain MRIs, characterization of neuropsychological and psychiatric diseases and traits, signal complexity analysis in time series, and functional MRI,amongst others. N° de réf. du vendeur 9783031476082
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