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Titlebook: Computational Glioscience; Maurizio De Pittà,Hugues Berry Book 2019 Springer Nature Switzerland AG 2019 astrocytes.modeling.Neuron-glia in

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發(fā)表于 2025-3-21 17:11:25 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Computational Glioscience
編輯Maurizio De Pittà,Hugues Berry
視頻videohttp://file.papertrans.cn/233/232339/232339.mp4
概述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
叢書名稱Springer Series in Computational Neuroscience
圖書封面Titlebook: Computational Glioscience;  Maurizio De Pittà,Hugues Berry Book 2019 Springer Nature Switzerland AG 2019 astrocytes.modeling.Neuron-glia in
描述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
出版日期Book 2019
關鍵詞astrocytes; modeling; Neuron-glia interactions; Brain communication; Information processing
版次1
doihttps://doi.org/10.1007/978-3-030-00817-8
isbn_ebook978-3-030-00817-8Series ISSN 2197-1900 Series E-ISSN 2197-1919
issn_series 2197-1900
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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沙發(fā)
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Springer Series in Computational Neurosciencehttp://image.papertrans.cn/c/image/232339.jpg
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Simple Gaussian and Non-Gaussian SDEs,l role as a central regulator in calcium dynamics, several sources of relevant experimental data are introduced. Single ion channels are best studied by recording single-channel currents under different ligand concentrations via the patch-clamp technique. The particular relevance of modal gating, th
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Simple Gaussian and Non-Gaussian SDEs,es, from local puffs to global intra- and intercellular waves. Local Ca. puffs released from a cluster of IP.R s are strongly stochastic. The most obvious source of noise for puffs is the small number of channels within a cluster. In this chapter we discuss the simulation of stochastic Ca. signals.
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Data-Driven Low-Order Stochastic Models,l-stirred astrocyte model to first identify characteristic?IP. pathways whereby?Ca. and?IP. dynamics “bifurcate,” namely their dynamics changes from stable (constant) concentration levels, to oscillating ones. Then, we extend our analysis to the elemental case of two astrocytes, coupled by?IP. diffu
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