8 citations · 8 across the 4 of their papers we have counts for
5 papers
Optimized application of double and single layer BEM for in vivo conductivity estimation
Jan C de Munck, Andreas Daffertshofer, Victoria Montes-Restrepo +3
Inter subject variability of the electrical conductivity of brain, skull and skin strongly limits the accuracy by which current sources underlying electro-encephalography (EEG) can…
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…
Zero-calibration cVEP BCI using word prediction: a proof of concept
Federica Turi, Nathalie Gayraud, Maureen Clerc
Brain Computer Interfaces (BCIs) based on visual evoked potentials (VEP) allow for spelling from a keyboard of flashing characters. Among VEP BCIs, code-modulated visual evoked pot…
Jitter-Adaptive Dictionary Learning - Application to Multi-Trial Neuroelectric Signals
Sebastian Hitziger, Maureen Clerc, Alexandre Gramfort +3
Dictionary Learning has proven to be a powerful tool for many image processing tasks, where atoms are typically defined on small image patches. As a drawback, the dictionary only e…