Event-based representations for Electromagnetic Brain Signals

by Thomas Moreau

Monday Jul 7, 2025, 11:35 AM → 12:05 PM Europe/Paris

The quantitative analysis of non-invasive electrophysiology signals from electroencephalography (EEG) and magnetoencephalography (MEG) often boils down to the identification of certain types of events and their distribution in the signal. The events are characterized by their temporal patterns, such as evoked responses, transient bursts of neural oscillations, but also blinks or heartbeats for data cleaning. Given these events and patterns, a natural question is to estimate how their occurrences are modulated by certain cognitive tasks and experimental manipulations. In this talk, I will present contributions to the analysis of event-related neural responses using point-process models. While PP has been used in neuroscience in the past, in particular for single cell recordings (spike trains), techniques such as CDL make them amenable to human studies based on EEG/MEG signals. A particular focus will be on the development of methods that scale to the large dimensionality of the data in the neuroscience context, with efficient optimization procedures and robustness to noisy observation, with early results on M/EEG datasets.