The ever-increasing number of computing devices around us results in more and more
systems competing for our attention, making cognitive workload a crucial factor for the user …

Since the second half of the twentieth century, intracranial electroencephalography (iEEG),
including both electrocorticography (ECoG) and stereo-electroencephalography (sEEG) …

Neural oscillations are ubiquitous across recording methodologies and species, broadly
associated with cognitive tasks, and amenable to computational modelling that investigates …

The increase in spatiotemporal resolution of neuroimaging devices is accompanied by a
trend towards more powerful multivariate analysis methods. Often it is desired to interpret the …

Filters are commonly used to reduce noise and improve data quality. Filter theory is part of a
scientist's training, yet the impact of filters on interpreting data is not always fully appreciated …

The BCI competition IV stands in the tradition of prior BCI competitions that aim to provide
high quality neuroscientific data for open access to the scientific community. As experienced …

As the EEG inverse problem does not have a unique solution, the sources reconstructed
from EEG and their connectivity properties depend on forward and inverse modeling …

Sleep spindles are transient oscillatory waveforms that occur during non-rapid eye
movement (NREM) sleep across widespread cortical areas. In humans, spindles can be …

Immersive virtual reality (VR) enables naturalistic neuroscientific studies while maintaining
experimental control, but dynamic and interactive stimuli pose methodological challenges …

High-frequency oscillations (HFOs) are a promising biomarker for localizing epileptogenic
brain and guiding successful neurosurgery. However, the utility and translation of …