Computational Systems Neurobiology

  • N. Le Novère

Table of contents

  1. Front Matter
    Pages i-viii
  2. Lysimachos Zografos, Andrew J. Pocklington, J. Douglas Armstrong
    Pages 23-80
  3. Lukas Endler, Melanie I. Stefan, Stuart J. Edelstein, Nicolas Le Novère
    Pages 81-117
  4. Fidel Santamaria, Gabriela Antunes, Erik De Schutter
    Pages 119-132
  5. Sherry-Ann Brown, Raquell M. Holmes, Leslie M. Loew
    Pages 133-161
  6. Upinder S. Bhalla
    Pages 193-225
  7. A. Aldo Faisal
    Pages 227-257
  8. David T. J. Liley, Brett L. Foster, Ingo Bojak
    Pages 317-364
  9. Todd A. Gillette, Giorgio A. Ascoli
    Pages 387-427
  10. Duncan Mortimer, Hugh D. Simpson, Geoffrey J. Goodhill
    Pages 429-458
  11. Sarah M. Keating, Nicolas Le Novère
    Pages 459-488
  12. Padraig Gleeson, Volker Steuber, R. Angus Silver, Sharon Crook
    Pages 489-517
  13. Bard Ermentrout
    Pages 519-531
  14. Marc-Oliver Gewaltig, Abigail Morrison, Hans Ekkehard Plesser
    Pages 533-558
  15. Back Matter
    Pages 559-570

About this book

Introduction

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.

Keywords

computational neurobiology dynamical modeling networks neuron systems biology

Editors and affiliations

  • N. Le Novère
    • 1
  1. 1.European Bioinformatics Institute, EMBL-Outstation-HinxtonWellcome Trust Genome CampusHinxton, CambridgeUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-007-3858-4
  • Copyright Information Springer Science+Business Media Dordrecht 2012
  • Publisher Name Springer, Dordrecht
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-94-007-3857-7
  • Online ISBN 978-94-007-3858-4
  • About this book