Computer Techniques In Neuroanatomy
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Computer Techniques In Neuroanatomy
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Author : J.J. Capowski
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Computer Techniques In Neuroanatomy written by J.J. Capowski and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.
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.
Computational Neuroanatomy
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Author : Moo K. Chung
language : en
Publisher: World Scientific
Release Date : 2012-09-05
Computational Neuroanatomy written by Moo K. Chung and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-05 with Computers categories.
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.
Neuroanatomical Research Techniques
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Author : Richard T. Robertson
language : en
Publisher: Academic Press
Release Date : 2013-10-22
Neuroanatomical Research Techniques written by Richard T. Robertson and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-22 with Science categories.
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.
Computational Neuroanatomy
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Author : Giorgio A. Ascoli
language : en
Publisher: Springer Science & Business Media
Release Date : 2002-07-01
Computational Neuroanatomy written by Giorgio A. Ascoli and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-07-01 with Medical categories.
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.
Quantitative Neuroanatomy In Transmitter Research
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Author : Luigi F. Agnati
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Quantitative Neuroanatomy In Transmitter Research written by Luigi F. Agnati and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.
The Computing Dendrite
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Author : Hermann Cuntz
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-23
The Computing Dendrite written by Hermann Cuntz and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-23 with Medical categories.
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.
Brain Structure And Its Origins
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Author : Gerald E. Schneider
language : en
Publisher: MIT Press
Release Date : 2014-03-21
Brain Structure And Its Origins written by Gerald E. Schneider and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-21 with Science categories.
An introduction to the brain's anatomical organization and functions with explanations in terms of evolutionary adaptations and development. This introduction to the structure of the central nervous system demonstrates that the best way to learn how the brain is put together is to understand something about why. It explains why the brain is put together as it is by describing basic functions and key aspects of its evolution and development. This approach makes the structure of the brain and spinal cord more comprehensible as well as more interesting and memorable. The book offers a detailed outline of the neuroanatomy of vertebrates, especially mammals, that equips students for further explorations of the field. Gaining familiarity with neuroanatomy requires multiple exposures to the material with many incremental additions and reviews. Thus the early chapters of this book tell the story of the brain's origins in a first run-through of the entire system; this is followed by other such surveys in succeeding chapters, each from a different angle. The book proceeds from basic aspects of nerve cells and their physiology to the evolutionary beginnings of the nervous system to differentiation and development, motor and sensory systems, and the structure and function of the main parts of the brain. Along the way, it makes enlightening connections to evolutionary history and individual development. Brain Structure and Its Origins can be used for advanced undergraduate or beginning graduate classes in neuroscience, biology, psychology, and related fields, or as a reference for researchers and others who want to know more about the brain.
Computers And Computations In The Neurosciences
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Author : P. Michael Conn
language : en
Publisher: Academic Press
Release Date : 2013-10-22
Computers And Computations In The Neurosciences written by P. Michael Conn and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-22 with Technology & Engineering categories.
Methods in Neurosciences, Volume 10: Computers and Computations in the Neurosciences discusses the use of computers in the neurosciences. The book deals with data collection, analysis, and modeling, with emphasis on the use of computers. Section I involves data collection using a personal microcomputer system. One paper presents a tutorial on using a PC-based motor control composed of an electronic circuit to adjust the motion of a light microscope stage through a software program. Other papers discuss computer methods in nuclei cartography and a computer-assisted quantitative receptor autoradiography in studying receptor density distribution. Section II deals with data analysis and some computer programs for kinetic modeling of gene expression in neurons. The book also discusses a computerized analysis of opioid receptor heterogeneity by ligand binding in test animals using computerized programs instead of employing manual or graphical methods. Computerized curve-fitting allows the researcher to utilize a more precise mathematical model to describe the binding of one ligand to one class of sites. Section III evaluates data modeling and simulations and describes the practicality of using computers to design model ion channels. Another paper discusses a graphical interaction program called MEMPOT to simulate an electrophysiological investigation of the properties of the membrane potential in stimulated cells. The book also presents a quantitative data gathered from computer simulation of the factors that affect neuronal density per measured sections. The book is suitable for microbiologists, biochemists, neuroscientists, and researchers in the field of medical research, as well as for advanced computer programmers in medical research work.
Bayesian Estimation And Inference In Computational Anatomy And Neuroimaging Methods Applications
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Author : Xiaoying Tang
language : en
Publisher: Frontiers Media SA
Release Date : 2019-08-22
Bayesian Estimation And Inference In Computational Anatomy And Neuroimaging Methods Applications written by Xiaoying Tang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-22 with categories.
Computational Anatomy (CA) is an emerging discipline aiming to understand anatomy by utilizing a comprehensive set of mathematical tools. CA focuses on providing precise statistical encodings of anatomy with direct application to a broad range of biological and medical settings. During the past two decades, there has been an ever-increasing pace in the development of neuroimaging techniques, delivering in vivo information on the anatomy and physiological signals of different human organs through a variety of imaging modalities such as MRI, x-ray, CT, and PET. These multi-modality medical images provide valuable data for accurate interpretation and estimation of various biological parameters such as anatomical labels, disease types, cognitive states, functional connectivity between distinct anatomical regions, as well as activation responses to specific stimuli. In the era of big neuroimaging data, Bayes’ theorem provides a powerful tool to deliver statistical conclusions by combining the current information and prior experience. When sufficiently good data is available, Bayes’ theorem can utilize it fully and provide statistical inferences/estimations with the least error rate. Bayes’ theorem arose roughly three hundred years ago and has seen extensive application in many fields of science and technology, including recent neuroimaging, ever since. The last fifteen years have seen a great deal of success in the application of Bayes’ theorem to the field of CA and neuroimaging. That said, given that the power and success of Bayes’ rule largely depends on the validity of its probabilistic inputs, it is still a challenge to perform Bayesian estimation and inference on the typically noisy neuroimaging data of the real world. We assembled contributions focusing on recent developments in CA and neuroimaging through Bayesian estimation and inference, in terms of both methodologies and applications. It is anticipated that the articles in this Research Topic will provide a greater insight into the field of Bayesian imaging analysis.
Current Catalog
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Author : National Library of Medicine (U.S.)
language : en
Publisher:
Release Date :
Current Catalog written by National Library of Medicine (U.S.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with Medicine categories.
First multi-year cumulation covers six years: 1965-70.