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|a Mathematical and Theoretical Neuroscience
|h [electronic resource] :
|b Cell, Network and Data Analysis /
|c edited by Giovanni Naldi, Thierry Nieus.
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|a 1st ed. 2017.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
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|a IX, 253 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
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|b PDF
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|a Springer INdAM Series,
|x 2281-518X ;
|v 24
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|a 1 Simulating cortical Local Field Potentials and Thalamus dynamic regimes with integrate-and-fire neurons -- 2 Computational modeling as a means to defining neuronal spike pattern behaviors -- 3 Chemotactic guidance of growth cones: a hybrid computational model -- 4 Mathematical Modeling of Cerebellar Granular Layer Neurons and Network Activity: Information Estimation, Population Behaviour and Robotic Abstractions -- 5 Bifurcation analysis of a sparse neural network with cubic topology -- 6 Simultaneous jumps in interacting particle systems: from neuronal networks to a general framework -- 7 Neural fields: Localised states with piece-wise constant interactions -- 8 Mathematical models of visual perception based on cortical architectures -- 9 Mathematical models of visual perception for the analysis of Geometrical optical illusions -- 10 Exergaming for autonomous rehabilitation -- 11 E-infrastructures for neuroscientists: the GAAIN and neuGRID examples -- 12 Nonlinear Time series Analysis -- 13 Measures of spike train synchrony and Directionality -- 14 Space-by-time tensor decomposition of single-trial analysis of neural signals -- 15 Inverse Modeling for MEG/EEG data.
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|a This volume gathers contributions from theoretical, experimental and computational researchers who are working on various topics in theoretical/computational/mathematical neuroscience. The focus is on mathematical modeling, analytical and numerical topics, and statistical analysis in neuroscience with applications. The following subjects are considered: mathematical modelling in Neuroscience, analytical and numerical topics; statistical analysis in Neuroscience; Neural Networks; Theoretical Neuroscience. The book is addressed to researchers involved in mathematical models applied to neuroscience.
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|a Applied mathematics.
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|a Engineering mathematics.
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|a Bioinformatics .
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|a Computational biology .
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|a Statistics .
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|a Applications of Mathematics.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/M13003
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|a Computer Appl. in Life Sciences.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/L17004
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|a Statistics for Life Sciences, Medicine, Health Sciences.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/S17030
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| 700 |
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|a Naldi, Giovanni.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Nieus, Thierry.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 710 |
2 |
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|a SpringerLink (Online service)
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|i Printed edition:
|z 9783030098285
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| 830 |
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|a Springer INdAM Series,
|x 2281-518X ;
|v 24
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| 856 |
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|u https://doi.org/10.1007/978-3-319-68297-6
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| 950 |
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|a Mathematics and Statistics (R0) (SpringerNature-43713)
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