Researchers are increasingly attempting to undertake electroencephalography (EEG)
recordings in novel environments and contexts outside of the traditional static laboratory …

We investigated two important means for improving source reconstruction in presurgical
epilepsy diagnosis. The first investigation is about the optimal choice of the number of …

We introduce STOUT (spatio-temporal unifying tomography), a novel method for the source
analysis of electroencephalograpic (EEG) recordings, which is based on a physiologically …

This paper introduces an automated approach for generating a finite element (FE)
discretization of a multi-compartment human head model for electroencephalographic (EEG) …

We present an MEG source reconstruction method that simultaneously reconstructs source
amplitudes and identifies source interactions across the whole brain. In the proposed …

Characterizing the neural dynamics underlying sensory processing is one of the central
areas of investigation in systems and cognitive neuroscience. Neuroimaging techniques …

In this paper we propose and study a novel optimal transport based regularization of linear
dynamic inverse problems. The considered inverse problems aim at recovering a measure …

Electrical activity of neuronal populations is a crucial aspect of brain activity. This activity is
not measured directly but recorded as electrical potential changes using head surface …

Accurate computational modeling of electric fields in the human head has become important
in clinical research to study or influence brain functionality. While existing numerical …

Abstract Objective We introduce standardized Kalman filtering (SKF) as a new
spatiotemporal method for tracking brain activity. Via the Kalman filtering scheme, the …