Eye-BCI multimodal MI/ME dataset from Guttmann-Flury et al 2025
[ training in 62 healthy adults. The dataset comprises over 600 hours of EEG recordings collected across up to 11 training sessions per participant, containing more than 250,000 trials of motor-imagery tasks (left hand, right hand, both hands, and rest). This resource enables investigation of BCI learning dynamics and algorithm development for non-invasive neural control applications.
…with applications in AR/VR, mobile computing, and brain-computer interfaces. This…
…The study was conducted at the Combinatorial NeuroImaging (CNI) core facility of…