My current research is axed on descriptions and analysis of neural networks from the point of view of dynamical systems. My goal is to develop numerical / theoretical tools that allow an efficient study of these systems in order to draw predictions to be tested in experiments.
More specifically, I am interested in the following fields (not in a particular order):
Applications in theoretical neurosciences
Dynamical Systems / Probability Theory
Events and Committees
"Science is like sex: sometimes something useful comes out, but that is not the reason we are doing it" -- (Richard Feynman)
"There never have been and never will be any 'applied sciences', there are only applications of sciences" -- (Pasteur)
"I have never heard of such a mathematician, he is actually a physicist" -- (Landau on Poincaré)