…The participants were then instructed to perform the imaginary movement for 5…
…Towards decoding individual words from non-invasive brain recordings. Nature Communications 16…
…design effects on imagined speech decoding performance. ## Dataset Summary | Property | Value | |---|---| | Subjects…
This dataset contains 64-channel EEG recorded from 31 healthy participants performing a two-class (left vs. right hand) motor imagery task. Each participant completed up to three sessions of 40 trials. The recordings are part of a multimodal collection that also includes eye-tracking and high-speed video, intended for analyzing ocular activity across BCI paradigms. Events are annotated with HED, and the data are organized in BIDS format via MOABB.
…The study investigates the feasibility of decoding natural reach-and-grasp neural…
…interface (BCI) research and semantic decoding methods can be effectively conducted with…
…subthalamic local field potentials for movement decoding in Parkinson's disease", eLife…
EEG recordings from 10 healthy participants performing kinesthetic motor imagery of gait while walking on flat ground with a fully assisted lower-limb exoskeleton. Trials alternate motor imagery with relaxation and a regressive-count distractor task, cued by auditory stimuli. Data were recorded with 27 EEG and 4 EOG channels as part of the DECODED EUROBENCH sub-project and re-released in BIDS format via MOABB.
A multimodal dataset of human balance during beam walking and standing on a treadmill-mounted balance beam. It includes synchronized 128-channel EEG, lower leg and neck EMG, EOG, and motion capture. Participants were exposed to visual field rotations in virtual reality or physical side-to-side waist pulls, which allows electrocortical and muscular responses to sensorimotor perturbations to be compared.
…outputs from the decoding analyses, including time-resolved decoding accuracy matrices for…