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BEGIN:VEVENT
UID:63@map5.mi.parisdescartes.fr
DTSTART;TZID=Europe/Paris:20130708T090000
DTEND;TZID=Europe/Paris:20130708T180000
DTSTAMP:20230202T214655Z
URL:https://map5.mi.parisdescartes.fr/events/workshop-statistical-methods-
 for-neuronal-data/
SUMMARY:Workshop Statistical methods for neuronal data
DESCRIPTION:Organization\n\nPatricia Reynaud-Bouret (Laboratoire Dieudonné
 \, Université Nice) et Adeline Samson (Laboratoire MAP5\,\nUniversité Pa
 ris Descartes)\n\nLieu\n\nSalle du Conseil\, Aile Turing\, 7th floor\nUniv
 ersité Paris Descartes\n45 rue des Saint Pères\n75006 Paris\n\nProgramme
 \n\n9:00-9:15 Welcome\n\n9:15-9:50 Christine Tuleau-Malot (Université de 
 Nice) {Estimation and goodness of fit tests for point processes used to mo
 del neuronal activity}\n\n9:50-10:25 Maureen Clerc (INRIA Sophia-Antipolis
 )/Olivier Renaud (Genève)\nTBA\n\n10:45-11:20 Patricia Reynaud Bouret (Un
 iversité de Nice)/Vincent Rivoirard (Université Paris Dauphine) Estimati
 on of local dependence graphs via Hawkes processes\n\n11:20-11:55 Daniel T
 akahashi (Princeton) Coupled oscillator dynamics of vocal turn-taking in m
 onkeys\n\n11:55-12:30 Mathieu Lerasle (Université de Nice) Estimation of 
 the potential function in Ising models\, with applications to neural netwo
 rks\n\n14:00-14:35 Christophe Pouzat (Université Paris Descartes) How do 
 neurophysiologists get the data you are now analyzing?\n\n14:35-15:10 Rune
  Berg (University of Copenhagen) Synaptic inhibition and excitation estima
 ted via the time constant of membrane potential fluctuations\n\n15:10-15:4
 5 Massimiliano Tamborrino (University of Copenhagen) Parametric inference 
 of Leaky-Integrate-and-Fire Models from interspike intervals where a stimu
 lus occurs\n\n16:00-16:35 Anders Jensen (University of Copenhagen) Paramet
 er estimation in multidimensional diffusions with applications to the Fitz
 Hugh-Nagumo model\n\n16:35-17:10 Susanne Ditlevsen (University of Copenhag
 en)/Adeline Samson (Université Paris Descartes) Estimation in the Partial
 ly Observed Stochastic Morris-Lecar Neuronal model with Particle Filter an
 d Stochastic Approximation Methods
CATEGORIES:Journées Scientifiques
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