Scientists have invested decades in piecing together how our vision is so good at recognizing what's familiar. A new study overcomes an apparent discrepancy in data to reveal a new insight into how it ...

“Recent advances in deep learning have promoted EEG decoding for BCI systems, but data sparsity—caused by high costs of EEG collection and inter-subject variability—still limits model performance.

Because figuring out what is new and what is familiar in what we see is such a critically important ability for prioritizing our attention, neuroscientists have spent decades trying to figure out how ...

Advancing high-speed steady-state visually evoked potential (SSVEP)-based brain–computer interface (BCI) systems require effective electroencephalogram (EEG ...