An electroencephalography (EEG) based brain computer interface (BCI) system with the ability of choosing among 4 options reliably every 1 second has been developed. The system has been used to control a tele-operated robot or wheelchair. The commands from the BCI system have been used as high and low level commands to control the tele-operated robot/wheelchair. High level BCI commands take adva...

This study provides a comprehensive test of the head–related impulse response (HRIR) to an auditory spatial speller brain–computer interface (BCI) paradigm, including a comparison with a conventional virtual headphone–based spatial auditory modality. Five BCI–naive users participated in an experiment based on five Japanese vowels. The auditory evoked potentials obtained produced encouragingly g...

Recent advances in computer science enabled people with severe motor disabilities to use brain-computer interfaces (BCI) for communication, control, and even to restore their motor disabilities. This paper reviews the most recent works of BCI in stroke rehabilitation with a focus on methodology that reported on data collected from stroke patients and clinical studies that reported on the motor ...

OBJECTIVE There is great interest in closed-loop neurostimulators that sense and respond to a patient's brain state. Such systems may have value for neurological and psychiatric illnesses where symptoms have high intraday variability. Animal models of closed-loop stimulators would aid preclinical testing. We therefore sought to demonstrate that rodents can directly control a closed-loop limbic ...

We describe a multi-modal brain-computer interface (BCI) experiment, situated in a highly immersive CAVE. A subject sitting in the virtual environment controls the main character of a virtual reality game: a penguin that slides down a snowy mountain slope. While the subject can trigger a jump action via the BCI, additional steering with a game controller as a secondary task was tested. Our expe...

Subjects operating a brain-computer interface (BCI) based on sensorimotor rhythms exhibit large variations in performance over the course of an experimental session. Here, we show that high-frequency γ-oscillations, originating in fronto-parietal networks, predict such variations on a trial-to-trial basis. We interpret this finding as empirical support for an influence of attentional networks o...

Steady-state visual evoked potential (SSVEP)-brain-computer interface (BCI) has fast input speeds, high accuracy, and a large number of inputs. The problem with SSVEP is the stress caused by flickering stimuli risk developing photosensitivity. In this study, we attempted to reduce flicker high-frequency SSVEP-BCI. addition, measured critical fusion frequency (CFF) at which humans cannot perceiv...

The Defense Advanced Research Projects Agency (DARPA) has funded innovative scientific research and technology developments in the field of brain-computer interfaces (BCI) since the 1970s. This review highlights some of DARPA's major advances in the field of BCI, particularly those made in recent years. Two broad categories of DARPA programs are presented with respect to the ultimate goals of s...

The application of brain-computer interfaces (BCI) shows promising results in stroke rehabilitation, but the underlying neural substrates and processes of successful BCI-based neurorehabilitation remain unclear. The goal of our present work was to identify the brain areas associated with successful visuomotor integration and motor learning (VMIL), and investigate their connection with successfu...