March 20 to March 24: 2nd doctoral cours:
Stochastic modelling of neural networks. A.Galves, E. Löcherbach and C. Pouzat.
Content:
- a discrete time stochastic neural network model: a system of interacting chains with memory of variable length;
- a case of study: correlations between successive inter spike intervals
- stationary states in an infinite system
- perfect simulation and Kalikov decompositions
- statistical model selection in a class of systems of spiking neurons
- mean field limits
Bibliography:
- Galves, A., Löcherbach, E. and Pouzat, C., Probabilistic spiking neuronal nets-Data, Models and Theorems
Daily schedule:
- 9:30-10:00 Coffee break
- 10:00-12:00 Lecture
- 15:00-16:00 Coffee and informal discussions
- 16:00-17:00 Work in progress seminars
