The combined effect of fundamental results about neurocognitive processes and
advancements in decoding mental states from ongoing brain signals has brought forth a …

Background In cognitive neuroscience the potential of deep neural networks (DNNs) for
solving complex classification tasks is yet to be fully exploited. The most limiting factor is that …

In their early days, brain-computer interfaces (BCIs) were only considered as control
channel for end users with severe motor impairments such as people in the locked-in state …

Objective It has been suggested that the next major advancement in hearing aid (HA)
technology needs to include cognitive feedback from the user to control HA functionality. In …

Objective. Recent studies exploit the neural signal recorded via electroencephalography
(EEG) to get a more objective measurement of perceived video quality. Most of these studies …

We introduce a novel beamforming approach for estimating event-related potential (ERP)
source time series based on regularized linear discriminant analysis (LDA). The optimization …

Steady-state visual evoked potentials (SSVEPs) are neural responses, measurable using
electroencephalography (EEG), that are directly linked to sensory processing of visual …

Three-dimensional movies presented via stereoscopic displays have become more popular
in recent years aiming at a more engaging viewing experience. However, neurocognitive …

Human perception sensitivity to video distortion is vital for visual quality assessment (VQA).
Different from the perception mechanism of image distortion that has been thoroughly …

The assessment of perceived multimedia quality is a central research field in information
and media technology. Conventionally, psychophysical techniques are used for determining …