Buch, Englisch, Band 24, 253 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 5207 g
Reihe: Springer INdAM Series
Cell, Network and Data Analysis
Buch, Englisch, Band 24, 253 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 5207 g
Reihe: Springer INdAM Series
ISBN: 978-3-319-68296-9
Verlag: Springer International Publishing
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Naturwissenschaften Biowissenschaften Angewandte Biologie Biophysik
- Naturwissenschaften Physik Angewandte Physik Biophysik
Weitere Infos & Material
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.