Over the last few decades, the Brain-Computer Interfaces have been gradually making their
way to the epicenter of scientific interest. Many scientists from all around the world have …

Brain–computer interfaces (BCIs) use brain activity to control external devices, thereby
enabling severely disabled patients to interact with the environment. A variety of invasive …

Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from
neurophysiology, computer science, and engineering in an effort to establish real-time …

Chronic pain is one of the most prevalent health problems in our modern world, with millions
of people debilitated by conditions such as back pain, headache and arthritis. To address …

Over the past decade, many researchers have come up with different implementations of
systems for decoding covert or imagined speech from EEG (electroencephalogram). They …

A re-emergence of research on EEG-neurofeedback followed controlled evidence of clinical
benefits and validation of cognitive/affective gains in healthy participants including …

In February of 2012, the first international conference on real time functional magnetic
resonance imaging (rtfMRI) neurofeedback was held at the Swiss Federal Institute of …

Noninvasive Brain Computer Interfaces (BCI) have been promoted to be used for
neuroprosthetics. However, reports on applications with electroencephalography (EEG) …

Neurofeedback relying on functional magnetic resonance imaging (fMRI-nf) heralds new
prospects for self-regulating brain and behavior. Here we provide the first comprehensive …

In recent years, new research has brought the field of electroencephalogram (EEG)-based
brain–computer interfacing (BCI) out of its infancy and into a phase of relative maturity …