Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Visual BCIs based on steady-state visual evoked potentials (SSVEPs) have long been the gold standard for high-speed noninvasive brain-computer ...

Light has always carried more than brightness. In this case, it also carries direction and twist. That mix may open a new ...

Abstract: Brain state classification by applying deep learning techniques on neuroimaging data has become a recent topic of research. However, unlike domains where the data is low dimensional or there ...

Abstract: In this article, the state estimation problem is investigated for permanent magnet synchronous motors with sensor degradations under the encoding–decoding scheme. To reduce the network ...