Developing reliable and user-friendly electroencephalography (EEG) electrodes remains a
challenge for emerging real-world EEG applications. Classic wet electrodes are the gold …

In order to understand the working brain as a network, it is essential to identify the
mechanisms by which information is gated between regions. We here propose that …

Brain-computer interfaces (BCIs) acquire brain signals, analyze them, and translate them
into commands that are relayed to output devices that carry out desired actions. BCIs do not …

Electroencephalography (EEG) emerged in the second decade of the 20th century as a
technique for recording the neurophysiological response. Since then, there has been little …

Braincomputer interfaces (BCIs) allow their users to communicate or control external devices
using brain signals rather than the brain's normal output pathways of peripheral nerves and …

Recent advances in neuroscience have paved the way to innovative applications that
cognitively augment and enhance humans in a variety of contexts. This paper aims at …

Working memory (WM) is a system for the online storage of information. An emerging view is
that neuronal oscillations coordinate the cellular assemblies that code the content of WM. In …

Two-dimensional cursor control is an important and challenging issue in EEG-based brain-
computer interfaces (BCIs). To address this issue, here we propose a new approach by …

Brain–computer interfaces (BCIs) have attracted much attention recently, triggered by new
scientific progress in understanding brain function and by impressive applications. The aim …

Attentional engagement is a major determinant of how effectively we gather information
through our senses. Alongside the sheer growth in the amount and variety of information …