Content of the doctoral course:
• 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.
De Dasha Loukianova
De Fernando Araujo Najman , Paulo Passos
De Fernando Araujo Najman , Paulo Passos
De Fernando Araujo Najman , Paulo Passos
De Fernando Araujo Najman , Bia Ramalho dos Santos Lima
De Gilles Laurent , Olivier Faugeras
De Eva Löcherbach
De Dejan Slepčev
De Gérard Ben Arous
De Gérard Ben Arous
De Gérard Ben Arous
