4 papers
Pseudo-online framework for BCI evaluation: A MOABB perspective
Igor Carrara, Théodore Papadopoulo
Objective: BCI (Brain-Computer Interface) technology operates in three modes: online, offline, and pseudo-online. In the online mode, real-time EEG data is constantly analyzed. In…
An embedding for EEG signals learned using a triplet loss
Pierre Guetschel, Théodore Papadopoulo, Michael Tangermann
Neurophysiological time series recordings like the electroencephalogram (EEG) or local field potentials are obtained from multiple sensors. They can be decoded by machine learning…
Data-driven cortical clustering to provide a family of plausible solutions to M/EEG inverse problem
Kostiantyn Maksymenko, Maureen Clerc, Théodore Papadopoulo
The M/EEG inverse problem is ill-posed. Thus additional hypotheses are needed to constrain the solution space. In this work, we consider that brain activity which generates an M/EE…
Fast Approximation of EEG Forward Problem and Application to Tissue Conductivity Estimation
Kostiantyn Maksymenko, Maureen Clerc, Théodore Papadopoulo
Bioelectric source analysis in the human brain from scalp electroencephalography (EEG) signals is sensitive to the conductivity of the different head tissues. Conductivity values a…