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Computational Glioscience

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  • © 2019

Overview

  • The first systematic computational approach to neuron-glia interactions
  • Presents a "conversation" between experimentalists and theoreticians
  • Explores a series of hot topics in glia research

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

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Table of contents (18 chapters)

  1. Introduction

  2. Calcium Dynamics

  3. Tripartite Synapse and Regulation of Network Activity

  4. Homeostasis and Metabolic Coupling

Keywords

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.

Editors and Affiliations

  • Group of Mathematical, Computational and Experimental Neuroscience, Basque Center for Applied Mathematics, Bilbao, Biscay, Spain

    Maurizio De Pittà

  • INRIA Rhône-Alpes, Université de Lyon, Villeurbanne, Lyon, France

    Hugues Berry

Bibliographic Information

  • Book Title: Computational Glioscience

  • Editors: Maurizio De Pittà, Hugues Berry

  • Series Title: Springer Series in Computational Neuroscience

  • DOI: https://doi.org/10.1007/978-3-030-00817-8

  • Publisher: Springer Cham

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

  • Copyright Information: Springer Nature Switzerland AG 2019

  • Hardcover ISBN: 978-3-030-00815-4Published: 31 January 2019

  • eBook ISBN: 978-3-030-00817-8Published: 21 January 2019

  • 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

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