國立虎尾科技大學 |

Computational Glioscience

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Computational Glioscience/ edited by Maurizio De Pittà, Hugues Berry.
其他作者:	De Pittà, Maurizio.
面頁冊數:	XV, 505 p. 205 illus., 76 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Neurosciences. -
電子資源:	https://doi.org/10.1007/978-3-030-00817-8
ISBN:	9783030008178

Computational Glioscience
Computational Glioscience[electronic resource] /edited by Maurizio De Pittà, Hugues Berry. - 1st ed. 2019. - XV, 505 p. 205 illus., 76 illus. in color.online resource. - Springer Series in Computational Neuroscience,2197-1900. - Springer Series in Computational Neuroscience,14.

Part 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.

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.

ISBN: 9783030008178

Standard No.: 10.1007/978-3-030-00817-8doiSubjects--Topical Terms:

593561
Neurosciences.

LC Class. No.: RC321-580

Dewey Class. No.: 612.8

Computational Glioscience
LDR:05019nam a22003975i 4500 001 1008026
003 DE-He213
005 20200705230853.0
007 cr nn 008mamaa
008 210106s2019 gw | s |||| 0|eng d
020 $a 9783030008178 $9 978-3-030-00817-8
024 7 $a 10.1007/978-3-030-00817-8 $2 doi
035 $a 978-3-030-00817-8
050 4 $a RC321-580
072 7 $a PSAN $2 bicssc
072 7 $a MED057000 $2 bisacsh
072 7 $a PSAN $2 thema
082 0 4 $a 612.8 $2 23
245 1 0 $a Computational Glioscience $h [electronic resource] / $c edited by Maurizio De Pittà, Hugues Berry.
250 $a 1st ed. 2019.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a XV, 505 p. 205 illus., 76 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Springer Series in Computational Neuroscience, $x 2197-1900
505 0 $a Part 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 $a 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.
650 0 $a Neurosciences. $3 593561
700 1 $a De Pittà, Maurizio. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1301839
700 1 $a Berry, Hugues. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1301840
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030008154
776 0 8 $i Printed edition: $z 9783030008161
830 0 $a Springer Series in Computational Neuroscience, $x 2197-1900 ; $v 14 $3 1255772
856 4 0 $u https://doi.org/10.1007/978-3-030-00817-8
912 $a ZDB-2-SBL
912 $a ZDB-2-SXB
950 $a Biomedical and Life Sciences (SpringerNature-11642)
950 $a Biomedical and Life Sciences (R0) (SpringerNature-43708)