Computational Neuroanatomy


Computational Neuroanatomy
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Computational Neuroanatomy


Computational Neuroanatomy
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Author : Moo K. Chung
language : en
Publisher: World Scientific
Release Date : 2013

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 2013 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.



Computational Neuroanatomy


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.



Computational Neuroanatomy


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. Contents:Statistical PreliminaryDeformation-Based MorphometryTensor-Based MorphometryVoxel-Based MorphometryGeometry of Cortical ManifoldsSmoothing on Cortical ManifoldsSurface-Based MorphometryWeighted Fourier RepresentationStructural Brain ConnectivityTopological Data Analysis Readership: Researchers and graduate students in the fields of computational neuroscience and brain imaging, medical image analysis and pattern recognition. Keywords:Computational Neuroanatomy;Brain Image Analysis;NeuroimageKey Features:Includes necessary and very practical mathematical and statistical methodologiesAccessible to a wide range of readers and provides methodological understanding in a manner immediately usable to researchersCovers various topics in great detail without sacrificing readability; it can be used as both a textbook for graduate students and a reference for researchers Reviews: "The book is a comprehensive treatise on computational neuroanatomy — an area that has emerged with the enormous advancements of magnetic resonance imaging (MRI). The book is a solid and evidently needed testimony to the recent developments in the area of computational neuroanatomy. It is a welcome publication, which may appeal to senior graduate students, researchers and practitioners." Zentralblatt MATH



Brain Theory


Brain Theory
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Author : Adrianus Aertsen
language : en
Publisher: Elsevier
Release Date : 1996

Brain Theory written by Adrianus Aertsen and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computers categories.


Hardbound. The present collection of papers focuses on the subject of vision. The papers bring together new insights and facts from various branches of experimental and theoretical neuroscience. The experimental facts presented in the volume stem from disparate fields, such as neuroanatomy, electrophysiology, optical imaging and psychophysics. The theoretical models in part are unsophisticated, yet still inspiring, while others skilfully apply advanced mathematical reasoning to results of experimental measurements. The book is the fifth in a series of volumes intending to define a theory of the brain by bringing together formal reasoning and experimental facts. The reader is thus being introduced to a new kind of brain science, where facts and theory are beginning to blend together.



Ay S Neuroanatomy Of C Elegans For Computation


Ay S Neuroanatomy Of C Elegans For Computation
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Author : Theodore B. Achacoso
language : en
Publisher: CRC Press
Release Date : 2022-04-19

Ay S Neuroanatomy Of C Elegans For Computation written by Theodore B. Achacoso and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-19 with Science categories.


First published in 1992, AY's Neuroanatomy of C. elegans for Computation provides the neural circuitry database of the nematode Caenorhabditis elegans, both in printed form and in ASCII files on 5.25-inch diskettes (for use on IBM® and compatible personal computers, Macintosh® computers, and higher level machines). Tables of connections among neuron classes, synapses among individual neurons, gap junctions among neurons, worm cells and their embryonic origin, and synthetically derived neuromuscular connections are presented together with the references from which the data were compiled and edited. Sample data files and source codes of FORTRAN and BASIC programs are provided to illustrate the use of mathematical tools for any researcher or student interested in examining a natural neural network and discovering what makes it tick.



Statistical And Computational Methods In Brain Image Analysis


Statistical And Computational Methods In Brain Image Analysis
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Author : Moo K. Chung
language : en
Publisher: CRC Press
Release Date : 2013-07-23

Statistical And Computational Methods In Brain Image Analysis written by Moo K. Chung and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-23 with Mathematics categories.


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.



Biology And Computation


Biology And Computation
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Author : H. Gutfreund
language : en
Publisher: World Scientific
Release Date : 1994

Biology And Computation written by H. Gutfreund and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Science categories.


This book provides a comprehensive review of the works in the rapidly evolving field of neural networks and brain studies. Its purpose is two-fold: to help physicists entering this field to get a broader view of the context of the domain, and to help scientists of other disciplines to reach a better understanding of the physicists' contributions within a context of perspectives they can relate to.Included in the volume are 68 carefully selected, high quality reprints to provide the volume with both breadth and depth. It is organized into 5 sections and 22 chapters, both the sections and chapters being preceded by introductory comments by the editors.



Anatomy And Plasticity In Large Scale Brain Models


Anatomy And Plasticity In Large Scale Brain Models
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Author :
language : en
Publisher:
Release Date : 2017

Anatomy And Plasticity In Large Scale Brain Models written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.


Supercomputing facilities are becoming increasingly available for simulating activity dynamics in large-scale neuronal networks. On today's most advanced supercomputers, networks with up to a billion of neurons can be readily simulated. However, building biologically realistic, full-scale brain models requires more than just a huge number of neurons. In addition to network size, the detailed local and global anatomy of neuronal connections is of crucial importance. Moreover, anatomical connectivity is not fixed, but can rewire throughout life (structural plasticity)--an aspect that is missing in most current network models, in which plasticity is confined to changes in synaptic strength (synaptic plasticity). The papers in this Ebook, which may broadly be divided into three themes, aim to bring together high-performance computing with recent experimental and computational research in neuroanatomy. In the first theme (fiber connectivity), new methods are described for measuring and data-basing microscopic and macroscopic connectivity. In the second theme (structural plasticity), novel models are introduced that incorporate morphological plasticity and rewiring of anatomical connections. In the third theme (large-scale simulations), simulations of large-scale neuronal networks are presented with an emphasis on anatomical detail and plasticity mechanisms. Together, the articles in this Ebook make the reader aware of the methods and models by which large-scale brain networks running on supercomputers can be extended to include anatomical detail and plasticity.Supercomputing facilities are becoming increasingly available for simulating activity dynamics in large-scale neuronal networks. On today's most advanced supercomputers, networks with up to a billion of neurons can be readily simulated. However, building biologically realistic, full-scale brain models requires more than just a huge number of neurons. In addition to network size, the detailed local and global anatomy of neuronal connections is of crucial importance. Moreover, anatomical connectivity is not fixed, but can rewire throughout life (structural plasticity)--an aspect that is missing in most current network models, in which plasticity is confined to changes in synaptic strength (synaptic plasticity). The papers in this Ebook, which may broadly be divided into three themes, aim to bring together high-performance computing with recent experimental and computational research in neuroanatomy. In the first theme (fiber connectivity), new methods are described for measuring and data-basing microscopic and macroscopic connectivity. In the second theme (structural plasticity), novel models are introduced that incorporate morphological plasticity and rewiring of anatomical connections. In the third theme (large-scale simulations), simulations of large-scale neuronal networks are presented with an emphasis on anatomical detail and plasticity mechanisms. Together, the articles in this Ebook make the reader aware of the methods and models by which large-scale brain networks running on supercomputers can be extended to include anatomical detail and plasticity.



The Mit Encyclopedia Of The Cognitive Sciences Mitecs


The Mit Encyclopedia Of The Cognitive Sciences Mitecs
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Author : Robert A. Wilson
language : en
Publisher: MIT Press
Release Date : 2001-09-04

The Mit Encyclopedia Of The Cognitive Sciences Mitecs written by Robert A. Wilson and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-09-04 with Psychology categories.


Since the 1970s the cognitive sciences have offered multidisciplinary ways of understanding the mind and cognition. The MIT Encyclopedia of the Cognitive Sciences (MITECS) is a landmark, comprehensive reference work that represents the methodological and theoretical diversity of this changing field. At the core of the encyclopedia are 471 concise entries, from Acquisition and Adaptationism to Wundt and X-bar Theory. Each article, written by a leading researcher in the field, provides an accessible introduction to an important concept in the cognitive sciences, as well as references or further readings. Six extended essays, which collectively serve as a roadmap to the articles, provide overviews of each of six major areas of cognitive science: Philosophy; Psychology; Neurosciences; Computational Intelligence; Linguistics and Language; and Culture, Cognition, and Evolution. For both students and researchers, MITECS will be an indispensable guide to the current state of the cognitive sciences.



Medical Image Computing And Computer Assisted Intervention Miccai 98


Medical Image Computing And Computer Assisted Intervention Miccai 98
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Author : William M. Wells
language : en
Publisher: Springer
Release Date : 1998-10-02

Medical Image Computing And Computer Assisted Intervention Miccai 98 written by William M. Wells and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-10-02 with Medical categories.


This book constitutes the refereed proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI'98, held in Cambridge, MA, USA, in October 1998. The 134 revised papers presented were carefully selected from a total of 243 submissions. The book is divided into topical sections on surgical planning, surgical navigation and measurements, cardiac image analysis, medical robotic systems, surgical systems and simulators, segmentation, computational neuroanatomy, biomechanics, detection in medical images, data acquisition and processing, neurosurgery and neuroscience, shape analysis, feature extraction, registration, and ultrasound.