Towards natural brain-computer interfaces: representation learning for identifying the temporal encoding of realistic video footage in EEG KU Leuven
Brain-computer interfaces (BCIs) facilitate interaction between the brain and a computer or machine. Electroencephalography (EEG) is by far the most popular non-invasive BCI modality, because it is cheap, mobile, and it has an excellent temporal resolution to track neural responses that are time-locked to a sensory stimulus. However, traditional BCI paradigms heavily rely on synthetic and controlled sensory stimuli and an active participation ...