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040			_aES-MaUEC _bspa _cES-MaUEC
336			_aTexto _btxt _2rdacontent
988			_aSpringerBiomedLife_2019
999			_c109218 _d109218 _x1
001			109218
005			20230110040215.0
008			190121s2019 gw | o |||| 0|eng d
020			_a9783030008178
024	7		_a10.1007/978-3-030-00817-8 _2doi
050		4	_aRC343 _b2019 EB
245	0	0	_aComputational Glioscience _cedited by Maurizio De Pittà, Hugues Berry.
264		1	_aCham, Switzerland _bSpringer International Publishing _c2019
300			_a1 recurso en línea (XV, 505 páginas) _b205 ilustraciones, 76 ilustraciones a color
337			_aelectrónico _bc
338			_arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aBiomedical and Life Sciences (Springer-11642)
490	0		_aSpringer Series in Computational Neuroscience _x2197-1900
505	0		_aPart 1. Introduction -- A Neuron-Glial perspective for computational neuroscience -- Part 2. Calcium dynamics -- Data-driven modelling of the inositol trisphosphate receptor and its role in calcium induced calcium release -- Intracellular calcium dynamics: biophysical and simplified models -- Modeling of stochastic Ca2+ signals -- G protein-coupled receptor-mediated astrocytic Ca2+ signaling in astrocytes -- Emergence of regular and complex calcium oscillations by inositol 1,4,5-trisphosphate signaling in astrocytes -- Astrocyte networks and intercellular calcium propagation -- Part 3. Tripartite Synapse and regulation of network activity -- Tripartite synapses and regulation of synaptic plasticity -- Purinergic signaling at tripartite synapses -- Gliotransmitter exocytosis and its consequences on synaptic transmission -- Computational models of pathophysiological glial activation in CNS disorders -- Part 4. Homeostasis and Metabolic coupling -- The role of astrocytes in neurotransmitter uptake and brain metabolism -- Glutamate uptake -- Astrocytic ion dynamics: Implications for potassium buffering and liquid flow -- Constraint-Based Modeling of Metabolic Interactions in and between Astrocytes and Neurons -- Part 5. Computational Tools to Analyze and Model Astrocyte Experiments -- Computational models of astrocytes and astrocyte-neuron interactions: Characterization, reproducibility, and future perspectives -- GECIquant: semi-automated detection and quantification of astrocyte intracellular Ca2+ signals monitored with GCaMP6f -- Modeling neuron-glia interactions with the Brian 2.0 simulator.
520	3		_aOver 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.
650		7	_2embne _9163919 _aNeuroglia
650		7	_2embne _aNeurociencias _9158907
700	1		_aBerry, Hugues. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aDe Pittà, Maurizio. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783030008154
776	0	8	_iPrinted edition: _z9783030008161
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi-org/10.1007/978-3-030-00817-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b07/2019 _ek _zSI