© 2019

Computational Glioscience

  • Maurizio De Pittà
  • Hugues Berry

Part of the Springer Series in Computational Neuroscience book series (NEUROSCI)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. Maurizio De Pittà, Hugues Berry
      Pages 3-35
  3. Calcium Dynamics

    1. Front Matter
      Pages 37-37
    2. Sten Rüdiger, Jianwei Shuai
      Pages 91-114
    3. Maurizio De Pittà, Eshel Ben-Jacob, Hugues Berry
      Pages 115-150
    4. Valeri Matrosov, Susan Gordleeva, Natalia Boldyreva, Eshel Ben-Jacob, Victor Kazantsev, Maurizio De Pittà
      Pages 151-176
    5. Jules Lallouette, Maurizio De Pittà, Hugues Berry
      Pages 177-210
  4. Tripartite Synapse and Regulation of Network Activity

    1. Front Matter
      Pages 211-211
    2. Candela González-Arias, Gertrudis Perea
      Pages 213-226
    3. Anup Pillai, Suhita Nadkarni
      Pages 227-244
  5. Homeostasis and Metabolic Coupling

    1. Front Matter
      Pages 309-309
    2. Konstantin Mergenthaler, Franziska Oschmann, Klaus Obermeyer
      Pages 329-361
    3. Geir Halnes, Klas H. Pettersen, Leiv Øyehaug, Marie E. Rognes, Gaute T. Einevoll
      Pages 363-391

About this book


Over the last two decades, the recognition that astrocytes - the predominant type of cortical glial cells - could sense neighboring neuronal activity and release neuroactive agents, has been instrumental in the uncovering of many roles that these cells could play in brain processing and the storage of information. These findings initiated a conceptual revolution that leads to rethinking how brain communication works since they imply that information travels and is processed not just in the neuronal circuitry but in an expanded neuron-glial network. On the other hand the physiological need for astrocyte signaling in brain information processing and the modes of action of these cells in computational tasks remain largely undefined. This is due, to a large extent, both to the lack of conclusive experimental evidence, and to a substantial lack of a theoretical framework to address modeling and characterization of the many possible astrocyte functions. This book that we propose aims at filling this gap, providing the first systematic computational approach to the complex, wide subject of neuron-glia interactions. The organization of the book is unique insofar as it considers a selection of “hot topics” in glia research that ideally brings together both the novelty of the recent experimental findings in the field and the modelling challenge that they bear. A chapter written by experimentalists, possibly in collaboration with theoreticians, will introduce each topic. The aim of this chapter, that we foresee less technical in its style than in conventional reviews, will be to provide a review as clear as possible, of what is “established” and what remains speculative (i.e. the open questions). Each topic will then be presented in its possible different aspects, by 2-3 chapters by theoreticians. These chapters will be edited in order to provide a “priming” reference for modeling neuron-glia interactions, suitable both for the graduate student and the professional researcher.


astrocytes modeling Neuron-glia interactions Brain communication Information processing

Editors and affiliations

  • Maurizio De Pittà
    • 1
  • Hugues Berry
    • 2
  1. 1.Group of Mathematical, Computational and Experimental NeuroscienceBasque Center for Applied MathematicsBilbao, BiscaySpain
  2. 2.INRIA Rhône-AlpesUniversité de LyonVilleurbanne, LyonFrance

Bibliographic information

  • Book Title Computational Glioscience
  • Editors Maurizio De Pittà
    Hugues Berry
  • Series Title Springer Series in Computational Neuroscience
  • Series Abbreviated Title Springer Ser.Comp.Neurosci.
  • DOI
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Biomedical and Life Sciences Biomedical and Life Sciences (R0)
  • Hardcover ISBN 978-3-030-00815-4
  • eBook ISBN 978-3-030-00817-8
  • Series ISSN 2197-1900
  • Series E-ISSN 2197-1919
  • Edition Number 1
  • Number of Pages XV, 505
  • Number of Illustrations 129 b/w illustrations, 76 illustrations in colour
  • Topics Neurosciences
  • Buy this book on publisher's site