A revised computational model of circadian phototransduction is presented. The first step
was to characterize the spectral sensitivity of the retinal circuit using suppression of the …

Objective. A P300-brain computer interface (P300-BCI) conveys a subject's intention through
recognition of their event-related potentials (ERPs). However, in the case of visual stimuli, its …

Objective. The use of an electroencephalogram (EEG) anticipation-related component, the
expectancy wave (E-wave), in brain–machine interaction was proposed more than 50 years …

Gaze-based input is an efficient way of hand-free human-computer interaction. However, it
suffers from the inability of gaze-based interfaces to discriminate voluntary and spontaneous …

Eye fixations are increasingly used to control computers through gaze-sensitive interfaces,
yet the brain mechanisms underlying this non-visual use of gaze remain poorly understood …

In attempt to improve the performance of a recently proposed hybrid human-machine
interface, the eye-brain-computer interface (EBCI), we applied a compact convolutional …

Brain-computer interfaces (BCIs) are heavily reliant on the underlying data classification.
Neural network classifiers are often used for this purpose, but their performance is …

Gaze dwells can be used instead of mouse clicks in the interaction with computers.
Recently, it was found that gaze dwells intentionally used to make moves in a game, but not …

In existing brain-computer interfaces (BCIs) a mental state classifier typically should be
trained individually for every user. This means that a user has to perform rather tedious and …