Mathematical and Theoretical Neuroscience Cell, Network and Data Analysis /
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 wi...
| Συγγραφή απο Οργανισμό/Αρχή: | |
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| Άλλοι συγγραφείς: | , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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| Έκδοση: | 1st ed. 2017. |
| Σειρά: | Springer INdAM Series,
24 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.
