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Neuroinformatics / Edition 1
     

Neuroinformatics / Edition 1

by S.H. Koslow
 

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ISBN-10: 1588297209

ISBN-13: 9781588297204

Pub. Date: 11/28/2007

Publisher: Springer-Verlag New York, LLC

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 book provides the scientific community with the tools and impetus for sharing their research with colleagues around the globe by offering

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 book 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. This timely volume, nearly a decade and a half after the launch of the Human Brain Project, will help to refocus and enhance current research by informing both new and current Neuroinformatics practitioners. Neuroinformatics is conceptually divided into four sections: Neuroscience Knowledge Management, Computational Neuronal Modeling and Simulations, Imaging, and Neuroinformatics in Genetics and Neurodegenerative Diseases. The contributing authors are all leading researchers in their area of expertise.

Product Details

ISBN-13:
9781588297204
Publisher:
Springer-Verlag New York, LLC
Publication date:
11/28/2007
Series:
Methods in Molecular Biology Series , #401
Edition description:
2007
Pages:
404
Product dimensions:
5.98(w) x 9.02(h) x 0.04(d)

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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