Advances in brain science and computer technology in the past decade have led to exciting
developments in brain–computer interface (BCI), thereby making BCI a top research area in …

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

Brain–computer interfaces (BCIs) can restore communication to people who have lost the
ability to move or speak. So far, a major focus of BCI research has been on restoring gross …

Patients with amyotrophic lateral sclerosis (ALS) can lose all muscle-based routes of
communication as motor neuron degeneration progresses, and ultimately, they may be left …

Deep learning with convolutional neural networks (deep ConvNets) has revolutionized
computer vision through end‐to‐end learning, that is, learning from the raw data. There is …

Brain-computer interfaces (BCIs) have the potential to restore communication for people with
tetraplegia and anarthria by translating neural activity into control signals for assistive …

People with severe neurological impairments face many challenges in sensorimotor
functions and communication with the environment; therefore they have increased demand …

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 …

Despite partial success, communication has remained impossible for persons suffering from
complete motor paralysis but intact cognitive and emotional processing, a state called …

This paper describes recommended methods for the use of event-related brain potentials
(ERPs) in clinical research and reviews applications to a variety of psychiatric and …