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Biomedical Sciences - Neuroscience | Neuroinformatics

Neuroinformatics

Series: Methods in Molecular Biology, Vol. 401

Crasto, Chiquito J. (Ed.)

2007

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  • Demonstrates the use of neuroinformatic components as a mechanism for understanding complex disorders, such as dementia, schizophrenia and Alzheimer’s
  • Detailed explanations, advantages, and disadvantages of traditional and non-invasive imaging methods

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.

Content Level » Professional/practitioner

Keywords » Alzheimer - imaging techniques - neural network - neurobiology - neuroscience

Related subjects » Human Physiology - Neurology - Neuroscience

Table of contents 

Table of Contents 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 Computational Neuronal Modeling and Simulation 6. Model structure analysis in NEURON: toward interoperability among neural simulators 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 (SNNAP): Description and Applications Douglas A. Baxter and John H. Byrne 9. Data-mining through simulation: introduction to the Neural Query System William W. Lytton and Mark Stewart 10. Computational exploration of neuron and neural network models in neurobiology Astrid Prinz 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: Indexing Neuroanatomical Databases William Bug, Carl Gustafson, Allon Shahar, Smadar Gefen, Yingli Fan, Louise Bertrand and Jonathan Nissanov 14. Workflow Based Approaches to Neuroimaging Analysis Kate Fissell, MS 15. Databasing receptor distributions in the brain Rolf Kötter, Jürgen Maier, Karl Zilles, Axel Scheicher and Ahmet Bozkurt Neuroinformatics in Genetics and Neurodenegerative Disorders 16. An Informatics approach to SystemsNeurogenetics Glenn D. Rosen, Elissa J. Chesler, Kenneth F. 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 Middleton FA, Rosenow C, Vailaya A, Kuchinsky A, Pato MT and Pato CN 19. Alzforum: E-Science for Alzheimer Disease June Kinoshita and Timothy Clark

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