Mathematical and Theoretical Neuroscience

1. From Single Neuron Activity to Network Information Processing: Simulating Cortical Local Field Potentials and Thalamus Dynamic Regimes with Integrate-and-Fire Neurons
Alberto Mazzoni

2. Computational Modeling as a Means to Defining Neuronal Spike Pattern Behaviors
Siva Venkadesh, Giorgio A. Ascoli

3. Chemotactic Guidance of Growth Cones: A Hybrid Computational Model
Iolanda Morana Roccasalvo, Silvestro Micera, Pier Nicola Sergi

4. Mathematical Modelling of Cerebellar Granular Layer Neurons and Network Activity: Information Estimation, Population Behaviour and Robotic Abstractions
Shyam Diwakar, Chaitanya Nutakki, Sandeep Bodda, Arathi Rajendran, Asha Vijayan, Bipin Nair

5. Bifurcation Analysis of a Sparse Neural Network with Cubic Topology
Diego Fasoli, Anna Cattani, Stefano Panzeri

6. Simultaneous Jumps in Interacting Particle Systems: From Neuronal Networks to a General Framework
Luisa Andreis, Paolo Dai Pra, Markus Fischer

7. Neural Fields: Localised States with Piece-Wise Constant Interactions
Aytül Gökçe, Stephen Coombes, Daniele Avitabile

8. Mathematical Models of Visual Perception Based on Cortical Architectures
Marta Favali, Giovanna Citti, Alessandro Sarti

9. Mathematical Models of Visual Perception for the Analysis of Geometrical Optical Illusions
Benedetta Franceschiello, Alessandro Sarti, Giovanna Citti

10. Exergaming for Autonomous Rehabilitation
Nunzio Alberto Borghese

11. E-Infrastructures for Neuroscientists: The GAAIN and neuGRID Examples
Daniele Orlandi, Alberto Redolfi, Jérôme Revillard, David Manset, Stefan Teipel, Giovanni B. Frisoni

12. Theory and Application of Nonlinear Time Series Analysis
Angelo Garbo

13. Measures of Spike Train Synchrony and Directionality
Eero Satuvuori, Irene Malvestio, Thomas Kreuz

14. Space-by-Time Tensor Decomposition for Single-Trial Analysis of Neural Signals
Ioannis Delis, Arno Onken, Stefano Panzeri

15. Inverse Modeling for MEG/EEG Data
Alberto Sorrentino, Michele Piana

Nyckelord: Mathematics, Applications of Mathematics, Computer Appl. in Life Sciences, Statistics for Life Sciences, Medicine, Health Sciences