Brain-Computer Interfaces (BCIs) allow users to control devices and communicate by using
brain activity only. BCIs based on broad-band visual stimulation can outperform BCIs using …

Objective. Code-modulated visual evoked potentials (c-VEP) have been consolidated in
recent years as robust control signals capable of providing non-invasive brain–computer …

Amodal completion is the phenomenon of perceiving completed objects even though
physically they are partially occluded. In this review, we provide an extensive overview of the …

Objective. Typically, a brain–computer interface (BCI) is calibrated using user-and session-specific
data because of the individual idiosyncrasies and the non-stationary signal …

Objective Brain-Computer Interface (BCI) spellers that make use of code-modulated Visual
Evoked Potentials (cVEP) may provide a fast and more accurate alternative to existing visual …

Eye movements can have serious confounding effects in cognitive neuroscience experiments.
Therefore, participants are commonly asked to fixate. Regardless, participants will make …

Brain-computer interfaces (BCIs) translate brain activity into computer commands opening a
novel non-muscular channel for communication and control. Before BCIs can be used …

We developed task-optimized deep neural networks (DNNs) that achieved state-of-the-art
performance in different evaluation scenarios for automatic music tagging. These DNNs were …

This study investigates the phenomenon of amodal completion within the context of naturalistic
objects, employing a repetition suppression paradigm to disentangle the influence of …

This study explores two zero-training methods aimed at enhancing the usability of brain-computer
interfaces (BCIs) by eliminating the need for a calibration session. We introduce a …