DocumentCode
3253122
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
fYear
2013
fDate
3-5 Dec. 2013
Firstpage
317
Lastpage
320
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE
Conference_Location
Austin, TX
Type
conf
DOI
10.1109/GlobalSIP.2013.6736879
Filename
6736879
Link To Document