Campuses:

spike train analysis

Wednesday, April 25, 2018 - 3:00pm - 3:30pm
Vincent Rivoirard (Université Paris-Dauphine)
Functional connectivity in neuroscience is considered as one of the main features of the neural code. It is nowadays possible to obtain the spike activities of tens to hundreds of neurons simultaneously and the issue is then to infer the functional connectivity thanks to those complex data. To deal with this problem, we consider estimation of sparse local independence graphs by using models based on multivariate Hawkes processes.
Subscribe to RSS - spike train analysis