Neuroinformatics

• 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?odzis?aw 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.

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 protocols 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." (Lubica Lacinova, 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)