Decoding Multisensory Attention from Electroencephalography for Use in a Brain-Computer Interface
Brain-computer interfaces (BCIs) offer a non-verbal and covert way for humans to interact with a machine. They are designed to interpret user’s brain state that can be translated into action or other communication purposes. While most previous BCI studies focus on motor imagery or steady-state evoked potential paradigms, we investigated the feasibility of a BCI […]