Found insideAs the readers will go through the book, they will get to know about the 3D diagrams and animations. Maps are irreplaceable for displaying geo-spatial data, so this book will also show how to build them. This book covers the fundamental theory of diffusion imaging, discusses its most promising applications to basic and clinical neuroscience, and introduces cutting-edge methodological developments that will shape the field in coming years. Better data are needed to help shape efforts, especially on the groups of people currently underdiagnosed and undertreated, and the IOM encourages federal and state agencies and private organizations to accelerate the collection of data on ... The 22 chapters included in this book provide a timely snapshot of algorithms, theory, and applications of interpretable and explainable AI and AI techniques that have been proposed recently reflecting the current discourse in this field ... Found insideIf you’re a scientist who programs with Python, this practical guide not only teaches you the fundamental parts of SciPy and libraries related to it, but also gives you a taste for beautiful, easy-to-read code that you can use in practice ... This book covers how to use the image processing libraries in Python. An essential guide to designing, conducting, and analyzing event-related potential (ERP) experiments, completely updated for this edition. Found insideThis book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining and software analysis. This practical guide quickly gets you up to speed on the details, best practices, and pitfalls of using HDF5 to archive and share numerical datasets ranging in size from gigabytes to terabytes. Found insideAuthor Allen Downey explains techniques such as spectral decomposition, filtering, convolution, and the Fast Fourier Transform. This book also provides exercises and code examples to help you understand the material. This book constitutes the refereed proceedings of the 22nd International Conference on Information Processing in Medical Imaging, IPMI 2011, held at Kloster Irsee, Germany, in July 2011. This edition of the atlas is unlike anything else available as it includes the detailed cyto- and chemoarchitectonic delineations of the brain areas in all three planes of sections (horizontal, coronal, and sagittal) that are derived from ... Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. This work includes coverage of diffusion-weighted imaging, magnetization transfer imaging, relaxometry, functional MRI, and spectroscopy. This book describes the ideas and procedures that underlie the analysis of signals produced by the brain. The aim is to understand how the brain works, in terms of its functional architecture and dynamics. Professor Derek Jones, a world authority on diffusion MRI, has assembled most of the world's leading scientists and clinicians developing and applying diffusion MRI to produce an authorship list that reads like a "Who's Who" of the field ... This handbook provides an up-to-date survey of current research topics and applications of time series analysis methods written by leading experts in their fields. An overview of the principles and limitations in using this methodology in fiber tracking is included. This book describes the core white-matter structures, as well as the superficial white matter, the deep gray matter, and the cortex. Features: ● Assumes minimal prerequisites, notably, no prior calculus nor coding experience ● Motivates theory using real-world data, including all domestic flights leaving New York City in 2013, the Gapminder project, and the data ... Found insideThis book describes the current state of the art of various types of immersive learning: in research, in practice, and in the marketplace. With a focus on the ventral processing stream thought to underlie object recognition, this book presents recent advances in our understanding of visual population codes, novel multivariate pattern-information analysis techniques, and the ... This book constitutes the refereed proceedings of the 25th IFIP WG 11.3 International Conference on Data and Applications Security and Privacy, DBSec 2011, held in Richmond, VA, USA, in July 2011. The field of neuroimaging has reached a watershed and critiques and emerging trends are raising foundational issues of methodology, measurement, and theory. Found inside – Page iThis book offers practical solutions to enhance the reporting and validation of research.”—Randy Schekman, Professor, Department of Molecular and Cell Biology, University of California, Berkeley, and Investigator, Howard Hughes Medical ... Found insideExploring the relationship of data science with statistics, a well-established and principled data-analytic discipline, this book provides insights about commonalities in approach, and differences in emphasis.Featuring chapters from ... A practical hands-on guide which focuses on interactive programming, numerical computing, and data analysis with IPython.This book is for Python developers who use Python as a scripting language or for software development, and are ... It explains how to accurately reproduce a scientific result. Divided into three parts, the book discusses the tools, practices, and dissemination platforms for ensuring reproducibility in computational science. This highly successful book, details the underlying principles behind the use of magnetic field gradients to image molecular distribution and molecular motion, providing many examples by way of illustration. Found insideThis is the first book to provide an overview of current research using cutting-edge genetic and neuroimaging methods in the study of personality. Found inside – Page 89... examples provided in its manual depends on the following libraries: Nipype ≥ 1.0.4; Nilearn ≥ 0.4.0; Numpy ≥ 1.14; SciPy ≥ 0.19; Nibabel ≥ 2.0.2; ... With its thorough coverage and balanced presentation of theory and application, this is an excellent and essential reference for statisticians and mathematicians. Many physicists are not aware of the fact that they can solve their problems by applying optimization algorithms. Found insideMoreover, we seek to provide a representative overview of existing mature Python modules for neuroscience and neuroinformatics, to demonstrate a critical mass and show that Python is an appropriate choice of interpreter interface for future ... Supersedes the previous (1987) edition (0 11 321072 8) Psychology. Intended to anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, hobbyists. Found inside – Page 408Nibabel (2011). Neuroimaging in python—NiBabel v1.1.0.dev documentation. http://nipy.sourceforge.net/ nibabel/. accessed 29-March-2011. Oliphant, T. (2006). The proceedings of the 8th annual Python for Scientific Computing conference. Found insidePsychological Science Under Scrutiny explores a range of contemporary challenges to the assumptions and methodologies of psychology, in order to encourage debate and ground the discipline in solid science. This is the second edition of Travis Oliphant's A Guide to NumPy originally published electronically in 2006. Found insideSeveral of the maps prepared for this edition are in the style of the period and represent conceptions of the world as seen by cartographers and navigators at the beginning of the Age of Discovery. This book presents an in-depth description of the BGL and provides working examples designed to illustrate the application of BGL to these real-world problems. This book shows how to use NEURON to construct and apply empirically based models. Written primarily for neuroscience investigators, teachers, and students, it assumes no previous knowledge of computer programming or numerical methods. The results obtained and reproduced in this book have a wide applicability, regardless of the nature of the problem or the constraints involved, making it an extremely user-friendly resource for those involved in this field. This book contains 30 well-developed independent projects that encourage students to explore questions across disciplinary boundaries, over 750 homework exercises, and 300 integrated reflection questions engage students in problem solving ... Found insideThis book presents an assortment of teaching and assessment strategies appropriate for 21st century learners, based on the author’s 25 years of teaching experience in private and state school institutions in the Philippines. Found insideThis eBook presents the latest efforts in collaborative team science from around the world, all aimed at understanding the human brain. Found insideUsing clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover the importance of statistical methods to machine learning, summary stats, hypothesis testing, nonparametric stats, resampling methods, ... 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