Designed primarily for medical and dental students preparing for the USMLE Step 1 and other examinations, this book presents the essentials of human neuroanatomy in a succinct outline format with abundant illustrations. Over 600 USMLE-style questions with complete answers and explanations are included, some at the end of each chapter and some in an end-of-book Comprehensive Examination. This edition uses color to delineate neuroanatomical pathways and highlight clinical correlations. New clinical MRI and MRA images have been added. Questions follow the clinical vignette-based format of the current USMLE. A companion Website on thePoint offers instant access to the complete, fully searchable text and all questions from the book.
The principal aim of this book is to introduce topology and its many applications viewed within a framework that includes a consideration of compactness, completeness, continuity, filters, function spaces, grills, clusters and bunches, hyperspace topologies, initial and final structures, metric spaces, metrization, nets, proximal continuity, proximity spaces, separation axioms, and uniform spaces.This book provides a complete framework for the study of topology with a variety of applications in science and engineering that include camouflage filters, classification, digital image processing, forgery detection, Hausdorff raster spaces, image analysis, microscopy, paleontology, pattern recognition, population dynamics, stem cell biology, topological psychology, and visual merchandising.It is the first complete presentation on topology with applications considered in the context of proximity spaces, and the nearness and remoteness of sets of objects. A novel feature throughout this book is the use of near and far, discovered by F Riesz over 100 years ago. In addition, it is the first time that this form of topology is presented in the context of a number of new applications.
Calculus for the Life Sciences is an entire reimagining of the standard calculus sequence with the needs of life science students as the fundamental organizing principle. Those needs, according to the National Academy of Science, include: the mathematical concepts of change, modeling, equilibria and stability, structure of a system, interactions among components, data and measurement, visualization, and algorithms. This book addresses, in a deep and significant way, every concept on that list. The book begins with a primer on modeling in the biological realm and biological modeling is the theme and frame for the entire book. The authors build models of bacterial growth, light penetration through a column of water, and dynamics of a colony of mold in the first few pages. In each case there is actual data that needs fitting. In the case of the mold colony that data is a set of photographs of the colony growing on a ruled sheet of graph paper and the students need to make their own approximations. Fundamental questions about the nature of mathematical modeling—trying to approximate a real-world phenomenon with an equation—are all laid out for the students to wrestle with. The authors have produced a beautifully written introduction to the uses of mathematics in the life sciences. The exposition is crystalline, the problems are overwhelmingly from biology and interesting and rich, and the emphasis on modeling is pervasive. An instructor's manual for this title is available electronically to those instructors who have adopted the textbook for classroom use. Please send email to textbooks@ams.org for more information. Online question content and interactive step-by-step tutorials are available for this title in WebAssign. WebAssign is a leading provider of online instructional tools for both faculty and students.
An Introduction to Neural Networks falls into a new ecological niche for texts. Based on notes that have been class-tested for more than a decade, it is aimed at cognitive science and neuroscience students who need to understand brain function in terms of computational modeling, and at engineers who want to go beyond formal algorithms to applications and computing strategies. It is the only current text to approach networks from a broad neuroscience and cognitive science perspective, with an emphasis on the biology and psychology behind the assumptions of the models, as well as on what the models might be used for. It describes the mathematical and computational tools needed and provides an account of the author's own ideas. Students learn how to teach arithmetic to a neural network and get a short course on linear associative memory and adaptive maps. They are introduced to the author's brain-state-in-a-box (BSB) model and are provided with some of the neurobiological background necessary for a firm grasp of the general subject. The field now known as neural networks has split in recent years into two major groups, mirrored in the texts that are currently available: the engineers who are primarily interested in practical applications of the new adaptive, parallel computing technology, and the cognitive scientists and neuroscientists who are interested in scientific applications. As the gap between these two groups widens, Anderson notes that the academics have tended to drift off into irrelevant, often excessively abstract research while the engineers have lost contact with the source of ideas in the field. Neuroscience, he points out, provides a rich and valuable source of ideas about data representation and setting up the data representation is the major part of neural network programming. Both cognitive science and neuroscience give insights into how this can be done effectively: cognitive science suggests what to compute and neuroscience suggests how to compute it.
Now in its Fourth Edition, this best-selling book extracts the most important information on neuroanatomy and presents it in a concise, uncluttered fashion to prepare students for course exams and the USMLE. Highlights of this edition include a brief glossary of key neuroanatomical structures and disease states; addition of an icon to more clearly identify the Clinical Correlations sections; an appendicized table of common neurological lesions; expanded figure legends that identify clinically relevant anatomical relationships; an improved, expanded index; and modified text and figure legends to comply with Terminologia Anatomica. A companion Website will offer bonus USMLE-style questions.
Now in its Fourth Edition, this best-selling book extracts the most important information on neuroanatomy and presents it in a concise, uncluttered fashion to prepare students for course exams and the USMLE. Highlights of this edition include a brief glossary of key neuroanatomical structures and disease states; addition of an icon to more clearly identify the Clinical Correlations sections; an appendicized table of common neurological lesions; expanded figure legends that identify clinically relevant anatomical relationships; an improved, expanded index; and modified text and figure legends to comply with Terminologia Anatomica. A companion Website will offer bonus USMLE-style questions.
This second edition is designed to provide a photographic survey of the macroscopic and microscopic structure of the central nervous system. It is organized into nine sections, three of which are new: 1) gross anatomy; 2) spinal cord; 3) brain stem; 4) frontal (coronal) sections; 5) horizontal (axial) sections; 6) parasagittal sections; 7) arteries and angiograms (digital subtraction angiography); 8) neuroanatomical lesions; 9) nuclear magnetic images of brain tumors and selected images from degenerative diseases of the CNS. This Second Edition also includes 11 new brain images as well as case studies of brain tumors and degenerative diseases of CNS.
Designed primarily for medical and dental students preparing for the USMLE Step 1 and other examinations, this book presents the essentials of human neuroanatomy in a succinct outline format with abundant illustrations. Over 600 USMLE-style questions with complete answers and explanations are included, some at the end of each chapter and some in an end-of-book Comprehensive Examination. This edition uses color to delineate neuroanatomical pathways and highlight clinical correlations. New clinical MRI and MRA images have been added. Questions follow the clinical vignette-based format of the current USMLE. A companion Website on thePoint offers instant access to the complete, fully searchable text and all questions from the book.
Concise text designed for medical students preparing for USMLE Step 1 exams and course review. Reflects USMLE changes and includes 500 USMLE-type questions with answers and numerous tables and illustrations. Outline format.
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