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

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Fumio Oosawa,Masateru Tsuchiya,Tomoko Kuborif astrocyte processes facing synapses provides the proper structural and functional conditions for neuron-astrocyte communication giving rise to the concept of “tripartite synapse”. These synapses envisage an active role for astrocytes in their function whereby: (i) astrocytes sense neurotransmissio

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Fumio Oosawa,Masateru Tsuchiya,Tomoko Kuboriosine mediate astrocyte-neuron crosstalk through a plethora of ionotropic and metabotropic purinergic receptors and provide a unique framework that enables bidirectional modulation of neuronal excitability over a range of spatial and temporal scales. More recently dysregulation in purinergic signali

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G. Kallianpur,Robert L. Wolpert, but its putative functional consequences remain elusive. Here we review and expand a mathematical modeling framework originally introduced by De Pittà et al. (.) to study how gliotransmission could affect synaptic coding and mechanisms of short-term plasticity. Consideration of analytical solution

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Utility Maximisation in Incomplete Markets,m in the extracellular space (ECS) is transported away to prevent pathological neural spiking. The recently introduced Kirchhoff–Nernst–Planck (KNP) scheme for modelling ion dynamics in astrocytes (and brain tissue in general) is outlined and used to study such spatial buffering. We next describe ho

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Modeling and Valuation of Credit Risk,ial to deduce underlying molecular mechanisms and to monitor the effect of perturbations such as diseases. The constraint-based modeling approach to organism- and tissue-specific metabolic networks has therefore become a popular focus in the computational system’s biology field. The approach uses re

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Lecture Notes in Biomathematicsronal cells in the limelight of CNS pathologies. The renewed interest in glial physiology and the advent of new experimental methods motivated the development of computational models of glial cells. In this contribution, we review the development and challenges of computational models of pathophysiological glial activation in CNS disorders.