|
|
|
|
LEADER |
02915nmm a2200337 u 4500 |
001 |
EB001800607 |
003 |
EBX01000000000000000974105 |
005 |
00000000000000.0 |
007 |
cr||||||||||||||||||||| |
008 |
180405 ||| eng |
020 |
|
|
|a 9783319682976
|
100 |
1 |
|
|a Naldi, Giovanni
|e [editor]
|
245 |
0 |
0 |
|a Mathematical and Theoretical Neuroscience
|h Elektronische Ressource
|b Cell, Network and Data Analysis
|c edited by Giovanni Naldi, Thierry Nieus
|
250 |
|
|
|a 1st ed. 2017
|
260 |
|
|
|a Cham
|b Springer International Publishing
|c 2017, 2017
|
300 |
|
|
|a IX, 253 p
|b online resource
|
505 |
0 |
|
|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 -- 13Measures 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
|
653 |
|
|
|a Bioinformatics
|
653 |
|
|
|a Computational and Systems Biology
|
653 |
|
|
|a Biostatistics
|
653 |
|
|
|a Applications of Mathematics
|
653 |
|
|
|a Mathematics
|
653 |
|
|
|a Biometry
|
700 |
1 |
|
|a Nieus, Thierry
|e [editor]
|
041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
490 |
0 |
|
|a Springer INdAM Series
|
028 |
5 |
0 |
|a 10.1007/978-3-319-68297-6
|
856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-319-68297-6?nosfx=y
|x Verlag
|3 Volltext
|
082 |
0 |
|
|a 519
|
520 |
|
|
|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
|