Computational Glioscience

1. Front Matter

   Pages i-xv

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2. Introduction

   1. Front Matter

      Pages 1-1

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   2. A Neuron–Glial Perspective for Computational Neuroscience

      • Maurizio De Pittà, Hugues Berry

      Pages 3-35

3. Calcium Dynamics

   1. Front Matter

      Pages 37-37

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   2. Data-Driven Modelling of the Inositol Trisphosphate Receptor (\(\text {IP}_3\text {R}\)) and its Role in Calcium-Induced Calcium Release (CICR)

      • Ivo Siekmann, Pengxing Cao, James Sneyd, Edmund J. Crampin

      Pages 39-68

   3. Intracellular Calcium Dynamics: Biophysical and Simplified Models

      • Yulia Timofeeva

      Pages 69-90

   4. Modeling of Stochastic \(\mathrm{{Ca}}^{2+}\) Signals

      • Sten Rüdiger, Jianwei Shuai

      Pages 91-114

   5. G Protein-Coupled Receptor-Mediated Calcium Signaling in Astrocytes

      • Maurizio De Pittà, Eshel Ben-Jacob, Hugues Berry

      Pages 115-150

   6. Emergence of Regular and Complex Calcium Oscillations by Inositol 1,4,5-Trisphosphate Signaling in Astrocytes

      • Valeri Matrosov, Susan Gordleeva, Natalia Boldyreva, Eshel Ben-Jacob, Victor Kazantsev, Maurizio De Pittà

      Pages 151-176

   7. Astrocyte Networks and Intercellular Calcium Propagation

      • Jules Lallouette, Maurizio De Pittà, Hugues Berry

      Pages 177-210

4. Tripartite Synapse and Regulation of Network Activity

   1. Front Matter

      Pages 211-211

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   2. Gliotransmission at Tripartite Synapses

      • Candela González-Arias, Gertrudis Perea

      Pages 213-226

   3. Purinergic Signaling at Tripartite Synapses

      • Anup Pillai, Suhita Nadkarni

      Pages 227-244

   4. Gliotransmitter Exocytosis and Its Consequences on Synaptic Transmission

      • Maurizio De Pittà

      Pages 245-287

   5. Computational Models of Pathophysiological Glial Activation in CNS Disorders

      • Vladislav Volman, Maxim Bazhenov

      Pages 289-305

5. Homeostasis and Metabolic Coupling

   1. Front Matter

      Pages 309-309

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   2. The Role of Astrocytes in Neurotransmitter Uptake and Brain Metabolism

      • Annalisa Scimemi

      Pages 309-328

   3. Glutamate Uptake by Astrocytic Transporters

      • Konstantin Mergenthaler, Franziska Oschmann, Klaus Obermeyer

      Pages 329-361

   4. Astrocytic Ion Dynamics: Implications for Potassium Buffering and Liquid Flow

      • Geir Halnes, Klas H. Pettersen, Leiv Øyehaug, Marie E. Rognes, Gaute T. Einevoll

      Pages 363-391

   5. Constraint-Based Modeling of Metabolic Interactions in and Between Astrocytes and Neurons

      • Tunahan Çakır

      Pages 393-420

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

• 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

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