Neuroinformatics

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.

Informs new and current practitioners of neuroinformatiics Details use of fMRI, XML and more Detailed explanations, advantages, and disadvantages of traditional and non-invasive imaging methods

Inhalt
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.