Neuroscience Databases


Download Neuroscience Databases PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Neuroscience Databases book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.

Download

Neuroscience Databases


Neuroscience Databases

Author: Rolf Kötter

language: en

Publisher: Springer Science & Business Media

Release Date: 2012-12-06


DOWNLOAD





Neuroscience Databases: A Practical Guide is the first book providing a comprehensive overview of these increasingly important databases. This volume makes the results of the Human Genome Project and other recent large-scale initiatives in the neurosciences available to a wider community. It extends the scope of bioinformatics from the molecular to the cellular, microcircuitry and systems levels, dealing for the first time with complex neuroscientific issues and leading the way to a new culture of data sharing and data mining necessary to successfully tackle neuroscience questions. Aimed at the novice user who wants to access the data, it provides clear and concise instructions on how to download the available data sets and how to use the software with a minimum of technical detail with most chapters written by the database creators themselves.

Computing the Brain


Computing the Brain

Author: Michael A. Arbib

language: en

Publisher: Elsevier

Release Date: 2001-04-02


DOWNLOAD





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

Neuroscience Databases


Neuroscience Databases

Author: Rolf Kötter

language: en

Publisher: Springer Science & Business Media

Release Date: 2003


DOWNLOAD





Neuroscience Databases: A Practical Guide is the first book providing a comprehensive overview of these increasingly important databases. This volume makes the results of the Human Genome Project and other recent large-scale initiatives in the neurosciences available to a wider community. It extends the scope of bioinformatics from the molecular to the cellular, microcircuitry and systems levels, dealing for the first time with complex neuroscientific issues and leading the way to a new culture of data sharing and data mining necessary to successfully tackle neuroscience questions. Aimed at the novice user who wants to access the data, it provides clear and concise instructions on how to download the available data sets and how to use the software with a minimum of technical detail with most chapters written by the database creators themselves. Key databases and topics include: -Neuroinformatics for C. Elegans; -Gene Expression Patterns; -Functional Analyses of Olfactory Receptors -Protein-Protein Interactions; -Web-Based Neuronal Archives; -Neuronal and Network Modeling; -Storage and Retrieval of Experimental Data for Biophysically Realistic Modeling; -Analysis of Spike Trains; -Neural Connectivity Patterns; -Software Tools for Neuroimaging; -Data Management, Inspection and Sharing.