The Fractal Geometry of the Brain

Antonio Di Ieva

ISBN 10: 3031476050 / ISBN 13: 9783031476051

Published by Springer International Publishing Mär 2024, 2024

About this Item

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.

Seller Inventory # 9783031476051

Bibliographic Details

• Title: The Fractal Geometry of the Brain
• Publisher: Springer International Publishing Mär 2024
• Publication Date: 2024
• Language: English
• ISBN 10: 3031476050
• ISBN 13: 9783031476051
• Binding: Buch
• Edition: 2nd Edition
• Condition: Neu
• Dimensions: 241W x 160H x 61D millimeters 241 millimeters width by 160 millimeters height by 61 millimeters depth
• Weight: 1695 grams

About this title

Synopsis

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.

About the Author

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