Stochastic modeling of neural networks - Part 1
Appears in collection : 2023 - T1B - Random processes in the brain: from experimental data to math and back
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.
