Abstract: Effectively extracting discriminative and neural-interpretative features from time-varying brain networks promotes the development of affective brain-computer interface (BCI). However, ...

Abstract: The automated classification and prediction of epileptic seizures using electroencephalography (EEG) remains a dynamic and critical area of interdisciplinary research, situated at the ...

By modeling the single-trial electroencephalogram of participants performing perceptual decisions, and building on predictions from two century-old psychological laws, we estimate the times of ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...