Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences
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Computational Glioscience (Hardcover, 1st ed. 2019)
Loot Price: R4,957
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Computational Glioscience (Hardcover, 1st ed. 2019)
Series: Springer Series in Computational Neuroscience
Expected to ship within 12 - 19 working days
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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.
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