Skip to main content
SpringerLink
Log in

Computational Systems Neurobiology

  • Book
  • © 2012

Overview

Editors:
  1. N. Le Novère

    1. European Bioinformatics Institute, EMBL-Outstation-Hinxton, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Covers the whole spectrum of computational modeling of neuronal systems, from the molecule to the organ
  • Contains several introductory chapters for newcomers, but also describes state of the art research
  • The book can be read as a whole but chapters can also be read in isolation

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (18 chapters)

  1. Front Matter

    Pages i-viii
    Download chapter PDF

  2. Functional Genomics and Molecular Networks Gene Expression Regulations in Complex Diseases: Down Syndrome as a Case Study

    • Marie-Claude Potier, Isabelle Rivals
    Pages 1-22

  3. Reconstructing Models from Proteomics Data

    • Lysimachos Zografos, Andrew J. Pocklington, J. Douglas Armstrong
    Pages 23-80

  4. Using Chemical Kinetics to Model Neuronal Signalling Pathways

    • Lukas Endler, Melanie I. Stefan, Stuart J. Edelstein, Nicolas Le Novère
    Pages 81-117

  5. Breakdown of Mass-Action Laws in Biochemical Computation

    • Fidel Santamaria, Gabriela Antunes, Erik De Schutter
    Pages 119-132

  6. Spatial Organization and Diffusion in Neuronal Signaling

    • Sherry-Ann Brown, Raquell M. Holmes, Leslie M. Loew
    Pages 133-161

  7. The Performance (and Limits) of Simple Neuron Models: Generalizations of the Leaky Integrate-and-Fire Model

    • Richard Naud, Wulfram Gerstner
    Pages 163-192

  8. Multi-compartmental Models of Neurons

    • Upinder S. Bhalla
    Pages 193-225

  9. Noise in Neurons and Other Constraints

    • A. Aldo Faisal
    Pages 227-257

  10. Methodological Issues in Modelling at Multiple Levels of Description

    • Kevin Gurney, Mark Humphries
    Pages 259-281

  11. Virtues, Pitfalls, and Methodology of Neuronal Network Modeling and Simulations on Supercomputers

    • Anders Lansner, Markus Diesmann
    Pages 283-315

  12. Co-operative Populations of Neurons: Mean Field Models of Mesoscopic Brain Activity

    • David T. J. Liley, Brett L. Foster, Ingo Bojak
    Pages 317-364

  13. Cellular Spacing: Analysis and Modelling of Retinal Mosaics

    • Stephen J. Eglen
    Pages 365-385

  14. Measuring and Modeling Morphology: How Dendrites Take Shape

    • Todd A. Gillette, Giorgio A. Ascoli
    Pages 387-427

  15. Axonal Growth and Targeting

    • Duncan Mortimer, Hugh D. Simpson, Geoffrey J. Goodhill
    Pages 429-458

  16. Encoding Neuronal Models in SBML

    • Sarah M. Keating, Nicolas Le Novère
    Pages 459-488

  17. NeuroML

    • Padraig Gleeson, Volker Steuber, R. Angus Silver, Sharon Crook
    Pages 489-517

  18. XPPAUT

    • Bard Ermentrout
    Pages 519-531

  19. NEST by Example: An Introduction to the Neural Simulation Tool NEST

    • Marc-Oliver Gewaltig, Abigail Morrison, Hans Ekkehard Plesser
    Pages 533-558

  20. Back Matter

    Pages 559-570
    Download chapter PDF
Back to top

Keywords

About this book

Computational neurosciences and systems biology are among the main domains of life science research where mathematical modeling made a difference. This book introduces the many different types of computational studies one can develop to study neuronal systems. It is aimed at undergraduate students starting their research in computational neurobiology or more senior researchers who would like, or need, to move towards computational approaches. Based on their specific project, the readers would then move to one of the more specialized excellent textbooks available in the field. The first part of the book deals with molecular systems biology. Functional genomics is introduced through examples of transcriptomics and proteomics studies of neurobiological interest. Quantitative modelling of biochemical systems is presented in homogeneous compartments and using spatial descriptions. A second part deals with the various approaches to model single neuron physiology, and naturally moves to neuronal networks. A division is focused on the development of neurons and neuronal systems and the book closes on a series of methodological chapters. From the molecules to the organ, thinking at the level of systems is transforming biology and its impact on society. This book will help the reader to hop on the train directly in the tank engine.

Reviews

From the book reviews:

“This is an excellent reference on mathematical neurobiology at the single level, multiple level, and biophysical level. … This is a good neural modeling book which brings to light ideas concerning Bayes Theorems and NeuroML ensembles. I highly recommend it.” (Joseph J. Grenier, Amazon.com, July, 2014)

Editors and Affiliations

  • European Bioinformatics Institute, EMBL-Outstation-Hinxton, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom

    N. Le Novère

Bibliographic Information

  • Book Title: Computational Systems Neurobiology

  • Editors: N. Le Novère

  • DOI: https://doi.org/10.1007/978-94-007-3858-4

  • Publisher: Springer Dordrecht

  • eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)

  • Copyright Information: Springer Science+Business Media Dordrecht 2012

  • Hardcover ISBN: 978-94-007-3857-7Published: 21 July 2012

  • Softcover ISBN: 978-94-017-8380-4Published: 09 August 2014

  • eBook ISBN: 978-94-007-3858-4Published: 20 July 2012

  • Edition Number: 1

  • Number of Pages: VIII, 572

  • Topics: Neurosciences, Bioinformatics

Publish with us

Policies and ethics

Back to top

Search

Navigation