Databasing the Brain: From Data to Knowledge (Neuroinformatics)

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9780471309215: Databasing the Brain: From Data to Knowledge (Neuroinformatics)

Expertly edited by two pioneers in this burgeoning field, this book covers both basic principles and specific applications across a range of problems in brain research. It truly integrates neuroscience with informatics, providing a means for understanding the new analytical tools and models of neuronal functions now being developed. Each chapter offers practical guidance for applying this knowledge to current research, enhancing electronic collaborations, and formulating hypotheses.

Prize or Award

  • AAP Awards for Excellence in Professional and Scholarly Publishing, 2006

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From the Back Cover:

Understanding the structure, function, and development of the brain in health and disease represents one of the great scientific challenges of our time. The emerging field of neuroinformatics integrates approaches from a number of disciplines to develop and apply the new tools and concepts of genomics and proteomics—along with the wealth of genome and protein data now available—to brain research. Databasing the Brain: from Data to Knowledge is the first book to comprehensively cover neuroinformatics, from relevant computational science and modeling issues to the field's diverse applications.

Expertly edited by two pioneers in this burgeoning discipline, this book provides a treatment of basic principles and specific applications across a range of problems in brain research. It integrates neuroscience with informatics, providing a means for understanding the new analytical tools and models of neuronal functions now being developed. Each chapter offers practical guidance for applying this knowledge to current research, enhancing electronic collaborations, and formulating hypotheses. This is a valuable resource for students entering this interdisciplinary area as well as for researchers wanting to cross-train between neuroscience and informatics.

Databasing the Brain includes:

  • Informatics issues, tools, and models, and the state of the art in applications to clinical and basic research
  • Extensive illustrations throughout
  • Consistent organization for each chapter, with introduction, sidebars, summary, and annotated bibliography
  • Introductions to new ways to acquire, store, visualize, analyze, integrate, synthesize, and share data
  • Tools for brain and behavioral scientists to integrate findings with data obtained using different species, levels of biological organization, and methods

Databasing the Brain gives researchers and students a unique resource for understanding this important and exciting new field.

About the Author:

Stephen H. Koslow is the Director Office on Neuroinformatics, Associate Director, National Institute of Mental Health, National Institutes of Health. He also coordinates the Human Brain Project, a multi-government agency informatics initiative. He earned his PhD from the Division of Biological Sciences, Department of Pharmacology, University of Chicago. He is a fellow of the American Association for the Advancement of Science, the American College of Medical Informatics, and the American College of Neuropsychopharmacology. He has been awarded several distinctions, including the Public Health Service Special Recognition Award, two NIH Director's Awards, the Presidents Award from the International Neural Network Society, and the President Award from the International Neural Network Society. He has 72 publications in referred journals, 20 invited chapters in books and edited 13 books.

Shankar Subramaniam is a Professor of Bioengineering, Chemistry and Biochemistry and Biology and Director of the Bioinformatics Graduate Program at the University of California at San Diego. He also has adjunct Professorships at the Salk Institute for Biological Studies and the San Diego Supercomputer Center. He has previously served as Director of the Bioinformatics and Computational Biology Program at the National Center for Supercomputing Applications and the Co-Director of the W.M. Keck Center for Comparative and Functional Genomics at UIUC. He is a fellow of the American Institute for Medical and Biological Engineering and is a recipient of Smithsonian Foundation and Association of Laboratory Automation Awards.

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Editor-Steven H. Koslow; Editor-Shankar Subramaniam
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ISBN 10: 0471309214 ISBN 13: 9780471309215
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