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Computing the Brain provides readers with an integrated view of current informatics research related to the field of neuroscience. This book clearly defines the new work being done in neuroinformatics and offers information on resources available on the Web to researchers using this new technology. It contains chapters that should appeal to a multidisciplinary audience with introductory chapters for the nonexpert reader. Neuroscientists will find this book an excellent introduction to informatics technologies and the use of these technologies in their research. Computer scientists will be interested in exploring how these technologies might benefit the neuroscience community.
- An integrated view of neuroinformatics for a multidisciplinary audience
- Explores and explains new work being done in neuroinformatics
- Cross-disciplinary with chapters for computer scientists and neuroscientists
- An excellent tool for graduate students coming to neuroinformatics research from diverse disciplines and for neuroscientists seeking a comprehensive introduction to the subject
- Discusses, in-depth, the structuring of masses of data by a variety of computational models
- Clearly defines computational neuroscience - the use of computational techniques and metaphors to investigate relations between neural structure and function
- Offers a guide to resources and algorithms that can be found on the Web
- Written by internationally renowned experts in the field
Neuroscientists, bioinformatisticians, information managers and academia and industry research directors
Contributors. Preface. Introduction: NeuroInformatics: The Issues, M.A. Arbib. Introduction to Databases, W.-H. K. Liao and D. McLeod. Modeling and Simulation: Modeling and the Brain, M.A. Arbib. NSL Neural Simulation Language, M.A. Arbib, A. Alexander, and A. Weitzenfeld. EONS: A Multi-Level Modeling System and Its Applications, J.-S. Liaw, Y. Shu, T. Ghaffar, X. Xie, and T.W. Berger. Brain Imaging and Synthetic PET, A. Bischoff-Grethe and M.A. Arbib. Databases for Neuroscience Time Series: Repositories for the Storage of Experimental Neuroscience Data, R.F. Thompson, J.S. Grethe, T. Berger, and X. Xie. Design Concepts for NeuroCore and NeuroScience Databases, J.S. Grethe, J. Mureika, and E.N. Merchant. User Interaction with NeuroCore, E.N. Merchant, D.A.T. King, and J.S. Grethe. Atlas-Based Databases: Interactive Brain Maps and Atlases, L.W. Swanson. Perspective: Geographical Information Systems, C. Shahabi and S. Jia. The Neuroanatomical Rat Brain Viewer, A.E. Dashti, G.A.P.C. Burns, D.M. Simmons, L. Swanson, S. Ghandeharizadeh, C. Shahabi, J. Stone, and S. Jia. Neuro Slicer: A Tool for Registering 2-D Slice Data to 3-D Surface Atlases, B. Timsari, R.M. Leahy, J.-M. Bouteiller, and M. Baudry. An Atlas-Based Database of Neurochemical Data, R. Simantov, J.-M. Bouteiller, and M. Baudry. Data Management: Federating Neuroscience Databases, W.-H.K. Liao and D. McLeod. Dynamic Classification Ontologies, J. Kahng and D. McLeod. Annotator: Annotation Technology for the WWW, I. Ovsiannikov and M. Arbib. Management of Space in Hierarchial Storage Systems, S. Ghandeharizadeh, D.J. Ierardi and R. Zimmerman. Summary Databases and Model Repositories: Summary Databases and Model Repositories, M.A. Arbib and A. Bischoff-Grethe. Brain Models on the Web and the Need for Summary Data, A. Bischoff-Grethe, J. Spoelstra, and M.A. Arbib. Knowledge Mechanics and the Neuroscholar Project: A New Approach to Neuroscientific Theory, G.A.P.C. Burns. The NeuroHomology Database, M. Bota and M.A. Arbib. Appendices: Introduction to Informix, J. Mureika and E.N. Merchant. NeuroCore TimeSeries Datablade, J. Mureika and E.N. Merchant. USCBP Development Team. Informix SQL Quick Reference, J. Mureika and E.N. Merchant. USC Brain Project Research Personnel. Doctoral Theses from the USC Brain Project (May 1997-August 2). Index.
- No. of pages:
- © Academic Press 2001
- 13th March 2001
- Academic Press
- eBook ISBN:
Center for Neural Engineering, University of Southern California, Los Angeles, U.S.A.
Center for Cognitive Neuroscience, Dartmouth College, Hanover, New Hampshire, U.S.A.
"...an essential starting point for frustrated neuroscientists lost in data and for those computer scientists who want to address this problem." --JOURNAL OF NEUROLOGICAL SCIENCES, June 2001
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