Workshop Statistical methods for neuronal data

MAP5, Université Paris Descartes, 08 juillet 2013

lundi 8 juillet 2013, 9h00 - 18h00

Salle de réunion, espace Turing


Patricia Reynaud-Bouret (Laboratoire Dieudonné, Université Nice) et Adeline Samson (Laboratoire MAP5,
Université Paris Descartes)


Salle du Conseil, Aile Turing, 7th floor
Université Paris Descartes
45 rue des Saint Pères
75006 Paris


9:00-9:15 Welcome

9:15-9:50 Christine Tuleau-Malot (Université de Nice) {Estimation and goodness of fit tests for point processes used to model neuronal activity}

9:50-10:25 Maureen Clerc (INRIA Sophia-Antipolis)/Olivier Renaud (Genève)

10:45-11:20 Patricia Reynaud Bouret (Université de Nice)/Vincent Rivoirard (Université Paris Dauphine) Estimation of local dependence graphs via Hawkes processes

11:20-11:55 Daniel Takahashi (Princeton) Coupled oscillator dynamics of vocal turn-taking in monkeys

11:55-12:30 Mathieu Lerasle (Université de Nice) Estimation of the potential function in Ising models, with applications to neural networks

14:00-14:35 Christophe Pouzat (Université Paris Descartes) How do neurophysiologists get the data you are now analyzing?

14:35-15:10 Rune Berg (University of Copenhagen) Synaptic inhibition and excitation estimated via the time constant of membrane potential fluctuations

15:10-15:45 Massimiliano Tamborrino (University of Copenhagen) Parametric inference of Leaky-Integrate-and-Fire Models from interspike intervals where a stimulus occurs

16:00-16:35 Anders Jensen (University of Copenhagen) Parameter estimation in multidimensional diffusions with applications to the FitzHugh-Nagumo model

16:35-17:10 Susanne Ditlevsen (University of Copenhagen)/Adeline Samson (Université Paris Descartes) Estimation in the Partially Observed Stochastic Morris-Lecar Neuronal model with Particle Filter and Stochastic Approximation Methods