José David López

This paper develops a framework for individual bird identification using temporal sequence modeling of bioacoustic embeddings, achieving high accuracy across multiple species.

The paper uses deformable cortical surfaces to evaluate MEG source reconstruction algorithms and fit metrics.

This paper models and corrects magnetic field variations in moving OP-MEG data to reduce movement artefacts.

This paper investigates the use of mouth-based sensors in magnetoencephalography (MEG) to study the human hippocampus, finding that mouth sensors show unique task-related activity and anti-correlation with temporal lobe sensors.

The paper investigates how sedation with propofol affects predictive coding circuits and the double surprise acceleration effect using EEG source localization in a local-global task.

The paper evaluates MEG source reconstruction methods using resting state data, finding that the Empirical Bayesian Beamformer provides the best anatomical discrimination.