Neuroinformatics

by Chiquito J. Crasto (Editor), S.H. Koslow (Foreword by)

Overview

Neuroinformatics presents cutting-edge techniques for the synergistic study of neuroinformatics, thereby facilitating the efforts of discovery neuroscience through the sharing of data and the use of computational models. This volume provides the scientific community with the tools and impetus for sharing their research with colleagues around the globe by offering insights, information, and compelling examples of success. Nearly a decade and a half after the launch of the Human Brain Project, this timely volume will help to refocus and enhance current research by informing both new and current Neuroinformatics practitioners. Neuroinformatics is conceptually divided into four sections. The first, Neuroscience Knowledge Management, has outstanding chapters dealing with the critical issues germane to computer science as applied to neuroscience. The second section, Computational Neuronal Modeling and Simulations, presents in-depth expert summaries on specific computational models and simulations as well as approaches to data mining.

The third section, Imaging, focuses on informatics representation and approaches to the structural complexity of the brain using a variety of both traditional and non-invasive imaging methods. The final section, Neuroinformatics in Genetics and Neurodegenerative Diseases, demonstrate the value of using components of neuroinformatics as a way to understand the complex disorders of Dementia, Schizophrenia and Alzheimer’s disease. Neuroinformatics will be an essential text for all those interested in keeping up with the latest issues in neuroinformatics and/or learning about and joining this field of research.

Product Details

ISBN-13:	9781588297204
Publisher:	Springer-Verlag New York, LLC
Publication date:	11/29/2007
Series:	Methods in Molecular Biology , #401
Edition description:	2007
Pages:	404
Product dimensions:	5.98(w) x 9.02(h) x 0.04(d)

Table of Contents

Preface.- Foreword.- Contributors.- Acknowledgments.- Color Plates.- I: Neuroscience Knowledge Management.- 1. Managing Knowledge in Neuroscience Chiquito J. Crasto and Gordon M. Shepherd.- 2. Interoperability Across Neuroscience Databases Luis Marenco, Prakash Nadkarni, Maryann Martone, and Amarnath Gupta.- 3. Database Architectures for Neuroscience Applications Prakash Nadkarni and Luis Marenco.- 4. XML for Data Representation and Model Specification in Neuroscience Sharon M. Crook and Fred W. Howell.- 5. Creating Neuroscience Ontologies Douglas M. Bowden, Mark Dubach, and Jack Park.- II: Computational Neuronal Modeling and Simulation.- 6. Model Structure Analysis in NEURON Michael L. Hines, Tom M. Morse, and N. T. Carnevale.- 7. Constructing Realistic Neural Simulations with GENESIS James M. Bower and David Beeman.- 8. Simulator for Neural Networks and Action Potentials Douglas A. Baxter and John H. Byrne.- 9. Data Mining Through Simulation William W. Lytton and Mark Stewart.- 10. Computational Exploration of Neuron and Neural Network Models in Neurobiology Astrid A. Prinz.- III: Imaging.- 11. Brain Atlases and Neuroanatomic Imaging Allan MacKenzie-Graham, Jyl Boline, and Arthur W. Toga.- 12. Brain Mapping with High-Resolution fMRI Technology Nian Liu.- 13. Brain Spatial Normalization William Bug, Carl Gustafson, Allon Shahar, Smadar Gefen, Yingli Fan, Louise Bertrand, and Jonathan Nissanov.- 14. Workflow-Based Approaches to Neuroimaging Analysis Kate Fissell.- 15. Databasing Receptor Distributions in the Brain Rolf Kötter, Jürgen Maier, Wojciech Margas, Karl Zilles, Axel Schleicher, and Ahmet Bozkurt.- IV: Neuroinformatics in Genetics and Neurodenegerative Disorders.- 16. An Informatics Approach to Systems Neurogenetics Glenn D. Rosen, Elissa J. Chesler, KennethF. Manly, and Robert W. Williams.- 17. Computational Models of Dementia and Neurological Problems W?odzisław Duch.- 18. Integrating Genetic, Functional Genomic, and Bioinformatics Data in a Systems Biology Approach to Complex Diseases: Application to Schizophrenia F. A. Middleton, C. Rosenow, A. Vailaya, A. Kuchinsky, M. T. Pato, and C. N. Pato.- 19. Alzforum June Kinoshita and Timothy Clark.

Editorial Reviews

From the reviews:

"This is a comprehensive review of the latest in the complex field that combines neuroscience and informatics research to develop tools that will assist in better understanding the brain. … It is targeted primarily at anyone working in neurosciences research such as students, clinicians, and scientists. … is an essential book for anyone looking for a better understanding of the fast growing field of neuroinformatics. This book presents the latest techniques in neuroinformatics through advanced models for sharing neuroscience data." (Raj Tummala, Doody’s Review Service, August, 2008)

“Neuroinformatics represents less than 20 years old field in a neuroscience research. … to give an overview of the current state of this field. … All contributions are written in form of practical laboratory prools often including listings of computer programs. The book will be of great use for practicing neuroscientists … already actively working in the field of neuroscience or planning to extend their research interest into this field.” (Ľubica Lacinová, General Physiology and Biophysics, Vol. 29, April, 2010)

“The book Neuroinformatics compiles research topics from authors who received support from the Human Brain Project. … basic neuroscientists and neuroimaging researchers navigating the complexities of applying neuroinformatics solutions to their research problems may find the book very useful. … Graduate students of biomedical informatics will find this book helpful as an introduction to various areas of neuroinformatics and as a guide to potential areas of research. In summary, this book will be valuable to the neuroscience and bioinformatics research community.” (American Journal of Neuroradiology, November, 2009)

From the Publisher