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Author: J.J. Capowski
Publisher: Springer Science & Business Media
ISBN: 1468456911
Category : Science
Languages : en
Pages : 497
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Book Description
This book is the story of the marriage of a new techl}ology, computers, with an old problem, the study of neuroanatomical structures using the light microscope. It is aimed toward you, the neuroanatomist, who until now have used computers primarily for word processing but now wish to use them also to collect and analyze your laboratory data. Mter reading the book, you will be better equipped to use a computer system for data collection and analysis, to employ a programmer who might develop a system for you, or to evaluate the systems available in the marketplace. To start toward this goal, a glossary first presents commonly used terms in computer assisted neuroanatomy. This, on its own, will aid you as it merges the jargon of the two different fields. Then, Chapter 1 presents a historical review to describe the manual tasks involved in presenting and measuring anatomic structures. This review lays a base line of the tasks that were done before computers and the amount of skill and time needed to perform the tasks. In Chapters 2 and 3, you will find basic information about laboratory computers and programs to the depth required for you to use the machines easily and talk with some fluency to computer engineers, programmers, and salesmen. Chapters 4, 5, and 6 present the use of computers to reconstruct anatomic structures, i.e., to enter them into a computer memory, where they are later displayed and analyzed.
Author: J.J. Capowski
Publisher: Springer Science & Business Media
ISBN: 1468456911
Category : Science
Languages : en
Pages : 497
Get Book Here
Book Description
This book is the story of the marriage of a new techl}ology, computers, with an old problem, the study of neuroanatomical structures using the light microscope. It is aimed toward you, the neuroanatomist, who until now have used computers primarily for word processing but now wish to use them also to collect and analyze your laboratory data. Mter reading the book, you will be better equipped to use a computer system for data collection and analysis, to employ a programmer who might develop a system for you, or to evaluate the systems available in the marketplace. To start toward this goal, a glossary first presents commonly used terms in computer assisted neuroanatomy. This, on its own, will aid you as it merges the jargon of the two different fields. Then, Chapter 1 presents a historical review to describe the manual tasks involved in presenting and measuring anatomic structures. This review lays a base line of the tasks that were done before computers and the amount of skill and time needed to perform the tasks. In Chapters 2 and 3, you will find basic information about laboratory computers and programs to the depth required for you to use the machines easily and talk with some fluency to computer engineers, programmers, and salesmen. Chapters 4, 5, and 6 present the use of computers to reconstruct anatomic structures, i.e., to enter them into a computer memory, where they are later displayed and analyzed.
Author: Giorgio A. Ascoli
Publisher: Springer Science & Business Media
ISBN: 1592592759
Category : Medical
Languages : en
Pages : 466
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Book Description
In Computational Neuroanatomy: Principles and Methods, the path-breaking investigators who founded the field review the principles and key techniques available to begin the creation of anatomically accurate and complete models of the brain. Combining the vast, data-rich field of anatomy with the computational power of novel hardware, software, and computer graphics, these pioneering investigators lead the reader from the subcellular details of dendritic branching and firing to system-level assemblies and models.
Author: Richard T. Robertson
Publisher: Academic Press
ISBN: 1483266400
Category : Science
Languages : en
Pages : 462
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Book Description
Neuroanatomical Research Techniques discusses developments in major neuroanatomical research techniques. The book is organized into four parts. Part I deals generally with the preparation and study of brain tissue. It includes a chapter on the microscope, discussing optical magnification, limitations of microscopy, and optical contrasting methods. Other chapters summarize basic techniques for tissue preparation and sectioning; present guidelines for a number of standard, but essential, staining procedures; and present sophisticated and contemporary computer techniques that are proving to be invaluable as neuroanatomy evolves from a qualitative to a quantitative discipline. Part II deals with techniques often used for the study of normal tissue. These include the Golgi method, fluorescence histochemistry, techniques for staining single neurons, and the use of the electron microscope. Part III presents techniques for studying intrinsic connections of the nervous system. These include techniques for silver impregnation of degenerating fibers; autoradiographic technique for studying axonal projections; and somatopetal movement of horseradish peroxidase as a tool for studying connections and neuron morphology. Part IV discusses the interpretation of results from neuroanatomical research techniques and presents examples of the applications of neuroanatomical methods to major problems in physiological psychology.
Author: Moo K. Chung
Publisher: CRC Press
ISBN: 1439836353
Category : Mathematics
Languages : en
Pages : 436
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Book Description
The massive amount of nonstandard high-dimensional brain imaging data being generated is often difficult to analyze using current techniques. This challenge in brain image analysis requires new computational approaches and solutions. But none of the research papers or books in the field describe the quantitative techniques with detailed illustrations of actual imaging data and computer codes. Using MATLAB® and case study data sets, Statistical and Computational Methods in Brain Image Analysis is the first book to explicitly explain how to perform statistical analysis on brain imaging data. The book focuses on methodological issues in analyzing structural brain imaging modalities such as MRI and DTI. Real imaging applications and examples elucidate the concepts and methods. In addition, most of the brain imaging data sets and MATLAB codes are available on the author’s website. By supplying the data and codes, this book enables researchers to start their statistical analyses immediately. Also suitable for graduate students, it provides an understanding of the various statistical and computational methodologies used in the field as well as important and technically challenging topics.
Author: Matt Carter
Publisher: Academic Press
ISBN: 0323915612
Category : Medical
Languages : en
Pages : 416
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Book Description
Modern neuroscience research is inherently multidisciplinary, with a wide variety of cutting edge new techniques to explore multiple levels of investigation. This Third Edition of Guide to Research Techniques in Neuroscience provides a comprehensive overview of classical and cutting edge methods including their utility, limitations, and how data are presented in the literature. This book can be used as an introduction to neuroscience techniques for anyone new to the field or as a reference for any neuroscientist while reading papers or attending talks. - Nearly 200 updated full-color illustrations to clearly convey the theory and practice of neuroscience methods - Expands on techniques from previous editions and covers many new techniques including in vivo calcium imaging, fiber photometry, RNA-Seq, brain spheroids, CRISPR-Cas9 genome editing, and more - Clear, straightforward explanations of each technique for anyone new to the field - A broad scope of methods, from noninvasive brain imaging in human subjects, to electrophysiology in animal models, to recombinant DNA technology in test tubes, to transfection of neurons in cell culture - Detailed recommendations on where to find protocols and other resources for specific techniques - "Walk-through" boxes that guide readers through experiments step-by-step
Author: Marco Catani
Publisher: Oxford University Press, USA
ISBN: 0199541167
Category : Medical
Languages : en
Pages : 533
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Book Description
One of the major challenges of modern neuroscience is to define the complex pattern of neural connections that underlie cognition and behaviour. This atlas capitalises on novel diffusion MRI tractography methods to provide a comprehensive overview of connections derived from virtual in vivo tractography dissections of the human brain.
Author: Min Suk Chung
Publisher: Academic Press
ISBN: 012819913X
Category : Medical
Languages : en
Pages : 199
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Book Description
Visually Memorable Neuroanatomy for Beginners takes a close look at the anatomy of the human brain and teaches readers to identify and examine its structures in a relatable way. Unlike large textbooks that deliver a superficial overview of the subject, this book explores the anatomy and physiology of the brain using mnemonic techniques and informative comic figures that present brain regions at an introductory level, allowing readers to easily identify different parts of the brain. This volume is appropriate for undergraduate and graduate students, postdoctoral fellows, and researchers in the medicine, health sciences, and biological sciences. Beginning with the morphology of the brain and spinal cord, this book then explores the somatic nerve and autonomic nerve, the cranial nerve and spinal nerve, the function of the brain, and concludes with the development of the nervous system. - Features simplified illustrations for understanding the complicated neuroanatomy structures - Introduces memorizing tips (mnemonics) to help students learn - Describes how best to identify structures in cadaver specimens - Includes comic-style figures to make neuroanatomy approachable for newcomers
Author: Hermann Cuntz
Publisher: Springer Science & Business Media
ISBN: 1461480949
Category : Medical
Languages : en
Pages : 519
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Book Description
Neuronal dendritic trees are complex structures that endow the cell with powerful computing capabilities and allow for high neural interconnectivity. Studying the function of dendritic structures has a long tradition in theoretical neuroscience, starting with the pioneering work by Wilfrid Rall in the 1950s. Recent advances in experimental techniques allow us to study dendrites with a new perspective and in greater detail. The goal of this volume is to provide a résumé of the state-of-the-art in experimental, computational, and mathematical investigations into the functions of dendrites in a variety of neural systems. The book first looks at morphological properties of dendrites and summarizes the approaches to measure dendrite morphology quantitatively and to actually generate synthetic dendrite morphologies in computer models. This morphological characterization ranges from the study of fractal principles to describe dendrite topologies, to the consequences of optimization principles for dendrite shape. Individual approaches are collected to study the aspects of dendrite shape that relate directly to underlying circuit constraints and computation. The second main theme focuses on how dendrites contribute to the computations that neurons perform. What role do dendritic morphology and the distributions of synapses and membrane properties over the dendritic tree have in determining the output of a neuron in response to its input? A wide range of studies is brought together, with topics ranging from general to system-specific phenomena—some having a strong experimental component, and others being fully theoretical. The studies come from many different neural systems and animal species ranging from invertebrates to mammals. With this broad focus, an overview is given of the diversity of mechanisms that dendrites can employ to shape neural computations.
Author: Adam Fisch MD
Publisher: Oxford University Press
ISBN: 0199708533
Category : Medical
Languages : en
Pages : 482
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Book Description
"If you can't draw it, you don't know it:" that was the rule of the late neuroanatomist William DeMyer, MD. Yet books do not encourage us to draw and redraw neuroanatomy. Neuroanatomy: Draw It to Know It teaches neuroanatomy through step-by-step instruction of how to draw neuroanatomical pathways and structures. Its instructive language is highly engaging. Users draw neuroanatomical structures and pathways in several steps so they are remembered and use mental and physical mnemonics to demonstrate difficult anatomical rotations and directional pathways. Anatomical pictures and radiographic images accompany the diagrams to clarify spatially challenging features; relevant synonyms are listed to avoid inter-text confusion; inconsistencies in the neuroanatomy literature are highlighted to mitigate frustration; and historical and current accounts of neuroanatomical systems are presented for perspective. Many neuroanatomy textbooks are great references, but fail to provide a working knowledge of neuroanatomy, and many neuroanatomy handbooks provide bedside pearls, but are too concise to be fully satisfactory. This instructional workbook teaches a comprehensive, but practical approach to neuroanatomy; it includes references where necessary but steers users toward key clinical features. Most importantly, Neuroanatomy: Draw It to Know It instructs the reader to draw and redraw the anatomy and teaches an active approach to learning.
Author: Moo K. Chung
Publisher: World Scientific
ISBN: 9814335436
Category : Computers
Languages : en
Pages : 424
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Book Description
Computational neuroanatomy is an emerging field that utilizes various non-invasive brain imaging modalities, such as MRI and DTI, in quantifying the spatiotemporal dynamics of the human brain structures in both normal and clinical populations. This discipline emerged about twenty years ago and has made substantial progress in the past decade. The main goals of this book are to provide an overview of various mathematical, statistical and computational methodologies used in the field to a wide range of researchers and students, and to address important yet technically challenging topics in further detail.
