Title :
Inference of functional connectivity in Neurosciences via Hawkes processes
Author :
Reynaud-Bouret, Patricia ; Rivoirard, Vincent ; Tuleau-Malot, Christine
Author_Institution :
Lab. Jean Alexandre Dieudonne, Univ. of Nice Sophia-Antipolis, Nice, France
Abstract :
We use Hawkes processes as models for spike trains analysis. A new Lasso method designed for general multivariate counting processes [1] enables us to estimate the functional connectivity graph between the different recorded neurons.
Keywords :
bioelectric potentials; neurophysiology; Hawkes processes; Lasso method; functional connectivity; functional connectivity graph; general multivariate counting processes; neurosciences; recorded neurons; spike train analysis; Adaptation models; Data models; Delays; Educational institutions; Graphical models; Neurons; Parametric statistics;
Conference_Titel :
Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE
Conference_Location :
Austin, TX
DOI :
10.1109/GlobalSIP.2013.6736879
