Téléchargez le livre : Computational Glioscience

Computational Glioscience

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Éditeur :

Springer


Collection :

Springer Series in Computational Neuroscience

Paru le : 2019-01-21

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Description
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.
Pages
505 pages
Collection
Springer Series in Computational Neuroscience
Parution
2019-01-21
Marque
Springer
EAN papier
9783030008154
EAN PDF
9783030008178
Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
50
Taille du fichier
16620 Ko
Prix
168,79 €
EAN EPUB
9783030008178
Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
50
Taille du fichier
42076 Ko
Prix
168,79 €

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