Computing the Brain

Overview

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...
See more details below
Available through our Marketplace sellers.
Other sellers (Hardcover)
  • All (5) from $72.70   
  • New (4) from $125.69   
  • Used (1) from $72.70   
Close
Sort by
Page 1 of 1
Showing All
Note: Marketplace items are not eligible for any BN.com coupons and promotions
$125.69
Seller since 2010

Feedback rating:

(55)

Condition:

New — never opened or used in original packaging.

Like New — packaging may have been opened. A "Like New" item is suitable to give as a gift.

Very Good — may have minor signs of wear on packaging but item works perfectly and has no damage.

Good — item is in good condition but packaging may have signs of shelf wear/aging or torn packaging. All specific defects should be noted in the Comments section associated with each item.

Acceptable — item is in working order but may show signs of wear such as scratches or torn packaging. All specific defects should be noted in the Comments section associated with each item.

Used — An item that has been opened and may show signs of wear. All specific defects should be noted in the Comments section associated with each item.

Refurbished — A used item that has been renewed or updated and verified to be in proper working condition. Not necessarily completed by the original manufacturer.

New
"New, ships through UPS and DHL. Excellent customer service. Satisfaction guaranteed!! "

Ships from: STERLING HEIGHTS, MI

Usually ships in 1-2 business days

  • Canadian
  • International
  • Standard, 48 States
  • Standard (AK, HI)
$150.12
Seller since 2014

Feedback rating:

(0)

Condition: New
Hardcover New in new dust jacket. Brand New US edition, 3-5 days shipping!

Ships from: Sausalito, CA

Usually ships in 1-2 business days

  • Canadian
  • International
  • Standard, 48 States
  • Standard (AK, HI)
  • Express, 48 States
  • Express (AK, HI)
$195.00
Seller since 2014

Feedback rating:

(178)

Condition: New
Brand new.

Ships from: acton, MA

Usually ships in 1-2 business days

  • Standard, 48 States
  • Standard (AK, HI)
$195.00
Seller since 2014

Feedback rating:

(178)

Condition: New
Brand new.

Ships from: acton, MA

Usually ships in 1-2 business days

  • Standard, 48 States
  • Standard (AK, HI)
Page 1 of 1
Showing All
Close
Sort by
Sending request ...

Overview

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.

Key Features
* 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

Audience: Neuroscientists, bioinformatisticians, information managers and academia and industry research directors.

Read More Show Less

Editorial Reviews

Journal of Neurological Sciences
...an essential starting point for frustrated neuroscientists lost in data and for those computer scientists who want to address this problem.
Booknews
Presents new work being done in both neuroinformatics<-->the use of databases, the web, and visualization in the storage and analysis of neuroscience data<-->and computational neuroscience<-->the use of computational techniques and metaphors to investigate relations between neural structure and function. The 20 papers overview modeling and simulation, databases for neuroscience time series, atlas-based databases, data management, and summary databases linked with model repositories. Based on the University of Southern California Brain Project, the book is suitable for use as a graduate textbook. Annotation c. Book News, Inc., Portland, OR (booknews.com)
Read More Show Less

Product Details

  • ISBN-13: 9780120597819
  • Publisher: Elsevier Science & Technology Books
  • Publication date: 4/1/2001
  • Pages: 380
  • Product dimensions: 8.72 (w) x 11.28 (h) x 0.83 (d)

Table of Contents

Contributors
Preface
Pt. 1 Introduction
Ch. 1.1 NeuroInformatics: The Issues 3
Ch. 1.2 Introduction to Databases 29
Pt. 2 Modeling and Simulation
Ch. 2.1 Modeling the Brain 43
Ch. 2.2 NSL Neural Simulation Language 71
Ch. 2.3 EONS: A Multi-Level Modeling System and Its Applications 91
Ch. 2.4 Brain Imaging and Synthetic PET 103
Pt. 3 Databases for Neuroscience Time Series
Ch. 3.1 Repositories for the Storage of Experimental Neuroscience Data 117
Ch. 3.2 Design Concepts for NeuroCore and NeuroScience Databases 135
Ch. 3.3 User Interaction with NeuroCore 151
Pt. 4 Atlas-Based Databases
Ch. 4.1 Interactive Brain Maps and Atlases 167
Ch. 4.2 Perspective: Geographical Information Systems 179
Ch. 4.3 The Neuroanatomical Rat Brain Viewer (NeuARt) 189
Ch. 4.4 Neuro Slicer: A Tool for Registering 2-D Slice Data to 3-D Surface Atlases 203
Ch. 4.5 An Atlas-Based Database of Neurochemical Data 217
Pt. 5 Data Management
Ch. 5.1 Federating Neuroscience Databases 231
Ch. 5.2 Dynamic Classification Ontologies 241
Ch. 5.3 Annotator: Annotation Technology for the WWW 255
Ch. 5.4 Management of Space in Hierarchical Storage Systems 265
Pt. 6 Summary Databases and Model Repositories
Ch. 6.1 Summary Databases and Model Repositories 287
Ch. 6.2 Brain Models on the Web and the Need for Summary Data 297
Ch. 6.3 Knowledge Mechanics and the Neuroscholar Project: A New Approach to Neuroscientific Theory 319
Ch. 6.4 The NeuroHomology Database 337
App. A1 Introduction to Informix 355
App. A2 NeuroCore TimeSeries Datablade 359
App. A3 USCBP Development Team 363
App. B1 Informix SQL Quick Reference 365
App. C1 USC Brain Project Research Personnel 367
App. C2 Doctoral Theses from the USC Brain Project (May 1997-August 2) 369
Index 371
Read More Show Less

Preface

For many workers in the field, Neuroinformatics is the use of databases, the World Wide Web, and visualization in the storage and analysis of neuroscience data. However, in this book we see the structuring of masses of data by a variety of computational models as essential to the future of neuroscience, and thus broaden this definition to include Computational Neuroscience, the use of computational techniques and metaphors to investigate relations between neural structure and function.

In recent years, the Human Genome Project has become widely known for its sequencing of the complete human genome, and its placing of the results in comprehensive databases such as GenBank. This has been made possible by advances in gene sequencing machinery that have transformed the sequencing of a gene from being a major research contribution publishable in Science to an automated process costing a few cents per base pair. The resultant data are of immense importance but are rather simple, since the key data are in the form of annotated base-pair sequences of DNA. By contrast, the Human Brain Project (HBP—a consortium of U.S. federal agencies funding work in neuroinformatics—has the problem of building databases for immensely heterogeneous sets of data. The brain is studied at multiple levels, from the behavior of the overall organism through the diversity of brain regions down through specific neural circuits and beyond. The human brain contains on the order of 1011 neurons, such neurons may have tens of thousands of synapses (connections) from other neurons, and these synapses are themselves complex neurochemical structures containing many macromolecular channels or receptors. Not only do we have to contend with the many orders of magnitude linking the finest details of neurochemistry to the overall behavior of the organism, but we also have to integrate data gathered by many different specialists. Neuroanatomists characterize the brain's connectivity patterns. Neurophysiologists characterize neural activity and the "learning rules" which summarize the conditions for, and dynamics of, change. Neurochemists seek the molecular mechanisms which yield these "rules", while computational neuroscientists seek to place all these within a systems perspective.

The first "map" of neuroinformatics was provided in the edited volume Neuroinformatics: An Overview of the Human Brain Project (Koslow and Huerta, 1997). The present volume is both broader than its predecessor—it gives a much fuller view of the computational neuroscience components of neuroinformatics and of underlying issues in research on databases—and narrower in that it has rather little to say on human brain imaging, which is a major thrust of the HBP consortium. Indeed, the book focuses on the work of the University of Southern California Brain Project (USCBP), funded in part by a Program Project (P20) grant from the Human Brain Project (P01MH52194), with contributions from NIMH, NIDA, and NASA. At first this focus might seem a weakness. However, what has distinguished USCBP from other HBP efforts is its emphasis on integration, and we are thus able to offer an integrated overview of neuroinformatics which was missing in the previous volume, which gathered contributions from a number of laboratories with very different foci.

We do not claim that our work subsumes the many contributions made by other laboratories engaged in neuroinformatics. Much research has been conducted on neuroinformatics, with HBP funding and under other auspices, both in the U.S. and elsewhere. To get a sense of what is being done beyond the material presented in this book, the reader should start with the HBP Website (http://www.nimh.nih.gov/neuroinformatics/index.cfm), and follow the links from there.

What we do claim is that the present volume offers a unified perspective that is available nowhere else, a perspective in which the diverse contributions of many laboratories can be better appreciated and evaluated than would otherwise be possible. Indeed, the material in this book grows not only from our own research but also from our experience in teaching, three times in five years, a graduate course in neuroinformatics to a total of 80 students in biomedical engineering, computer science, neuroscience, and other departments. We have thus kept the needs of graduate students coming to neuroinformatics research from diverse disciplines, as well as the needs of neuroscientists seeking a comprehensive introduction to neuroinformatics, very much in mind. In this spirit, this book aims to show how to approach "Computing the Brain," integrating database, visualization, and simulation technology to gain a deeper, more integrated view of the data of neuroscience, assisting the conversion of data into knowledge.

The book is divided into 6 parts: Part 1. Introduction: The first chapter, "Neuroinformatics: The Issues," both sets the stage for the study of neuroinformatics in general, and also introduces the feature that makes USCBP unique among all other HBP Projects, namely that we have created the NeuroInformatics Workbench, a unified architecture for neuroinformatics. This is a suite of tools to aid the neuroscientist in constructing and using databases, and in visualizing and linking models and data. At present, the Workbench contains three main components: NSLJ, a modular, Java-based language and environment for neural simulation; NeuroCore, a system for constructing and using neuroscience databases; and NeuroARt, a viewer for atlas-based neural data (the NeuroroAnatomical Registration Viewer). The second chapter, "Introduction to Databases," provides the expository role of its title. Our approach to databases exploits object-relational database management and is adaptable to any database management of this kind. The specific implementation of our database uses the Informix Universal Server which provides the ability to construct new data types as Data-blades (a new base type along with its associated functions) which can be "plugged in" to the Informix architecture. These facilities are described in the appendix.

Part 2. Modeling and Simulation: We start with a chapter, "Modeling the Brain" which provides an overview of work in computational neuroscience, providing both a general perspective and a brief sampling of models constructed at USCBP. For a variety of behaviors, we seek to understand what must be added to the available databases on neural responsiveness and connectivity to explain the time course of cellular activity, and the way in which such activity mediates between sensory data, the animal's intention, and the animal's movement. The attention paid by neuroscience experimentalists to computational models is increasing, as modeling occurs at many levels such as (I) the systems analysis of circuits using the NSL Neural Simulation Language developed at USC; (ii) the use of the GENESIS language developed at Caltech and the NEURON language from the University of North Carolina and Yale to relate the detailed morphology of single cells to their response to patterns of input stimulation; and (iii) the EONS library of "Essential Objects of Nervous Systems" developed at USC to model activity in individual synapses in great detail. The next two chapters introduce the USC contributions, "NSL Neural Simulation Language" and "EONS: A Multi-Level Modeling System and Its Applications." Since the neuroinfomatics of human brain imaging is so well covered by many research groups with and without HBP funding, this has not been a focus of USCBP research. However, we have been concerned with the following question: "How can the data from animal neurophysiology be integrated with data from human imaging studies?" The chapter "Brain Imaging and Synthetic PET" presents our answer.

Part 3. Databases For Neuroscience Time Series: The first chapter provides our general view of how to build "Repositories for the Storage of Experimental Neuroscience Data." We see the key to be the notion of the experimental protocol which defines a class of experiments by specifying a set of experimental manipulations and observations. When linking empirical data to models, we translate such a protocol into a simulation interface for "stimulating" a simulation of the empirical system under analysis and displaying the results in a form which eases comparison with the results of biological experiments conducted using the given protocol. The chapter "Design Concepts for NeuroCore and NeuroScience Databases" introduces NeuroCore, a novel extendible object-relational database schema implemented in Informix. The schema (structure of data tables, etc.) for each NeuroCore database is an extension of our core database schema which is readily adaptable to meet the needs of a wide variety of neuroscience databases. In particular, we have constructed a new Datablade which allows neurophysiological data to be stored and manipulated readily in the database. (See the appendix "NeuroCore TimeSeries Datablade.") The final chapter of Part 3, "User Interaction with NeuroCore," describes the various components we have developed of an on-line notebook that provides a laboratory independent "standard" for viewing, storing, and retrieving data across the Internet. We also present our view that the article will continue to be a basic unit of scientific communication, but envision ways in which articles can be enriched by manifold links to the federated databases of neuroscience.

Part 4. Atlas-Based Databases: How are data from diverse experiments on the brains of a given species to be integrated? Our answer is to register the data—whether the location of cells recorded neurophysiologically, the tract tracings of an anatomical experiment, or the receptor densities revealed on a slice of brain in a neurochemical study—against a standard brain atlas for the given species. The chapter "Interactive Brain Maps and Atlases" provides a general view of such atlases, while "Perspective: Geographical Information Systems" notes the similarities and differences between maps of Earth and brain. The key chapter of Part 4 is "The Neuroanatomical Rat Brain Viewer (NeuARt)" The Chapter "Neuro Slicer: A Tool for Registering 2-D Slice Data to 3-D Surface Atlases" addresses the problem of registering data against an atlas when the plane of section for the data is different from that of a plate in the atlas. The key is to reconstitute a 3-D atlas from a set of 2-D plates, and then reslice this representation to find a plane of section against which the empirical data can be registered with minimal distortion. Part 4 closes with the presentation of "An Atlas-Based Database of Neurochemical Data."

part 5. Data Management: "Federating Neuroscience Databases" addresses the important issue that there will not be a single monolithic database which will store all neuroscience data. Rather, there will be a federation of databases throughout the neuroscience community. Each database has its own "ontology," the set of objects which create the "universe of discourse" for the database. However, different databases may use different ontologies to describe related material, and the chapter on "Dynamic Classification Ontologies" discusses strategies for dynamically linking the ontologies of the databases of a database federation. We then present "Annotator: Annotation Technology for the WWW" as a means to expand scientific (and other) collaboration by constructing databases of annotations linked to documents on the Web, whether they be for personal use, or for the shared use of a community. Part 5 closes with "Management of Space in Hierarchial Storage Systems," an example of our database research addressing the issue of how to support a user community that needs timely access to increasingly massive datasets.

Part 6. Summary Databases: "Summary Databases and Model Repositories" describes the essential role of databases which summarize key hypotheses gleaned from a wide variety of empirical and modeling studies in attempting to maintain a coherent view of a nearly overwhelming body of data, and how such summary database may be linked with model repositories both to ground model assumptions and to test model predictions. "Brain Models on the Web and the Need for Summary Data" describes the construction of a database which not only provides access to a wide range of neural models but also supports links to empirical databases, and tools for model revision. "Knowledge Mechanics and the NueroScholar Project: A New Approach to Neuroscientific Theory" offers both a general philosophy of the construction of summary databases, and a specific database for analyzing connections of the rat brain exemplifying this philosophy. Finally "The NeuroHomology Database" presents a database design which supports the analysis of homologies between the brain regions of different species, returning us to the issue of how best to integrate the findings of animal studies into our increasing understanding of the human brain.

The majority of chapters end with a section on "Available Resources" which describes the availability of our software and databases as this book goes to press. Much of the material is available for downloading; in other cases the prototypes are not yet robust enough for export, but in many cases may nonetheless be viewed on-line through demonstrations. The USCBP Website may be found at http:\\www-hbp.usc.edu, and will be continually updated to give the reader expanding access to currently available materials.

Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star

(0)

4 Star

(0)

3 Star

(0)

2 Star

(0)

1 Star

(0)

Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation

Reminder:

  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

 
Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)