FRESH Audio Dataset
[ recordings from 13 healthy subjects performing a visual matrix speller task using a calibrationless brain-computer interface approach. The study introduces learning from label proportions (LLP), an unsupervised classification method that exploits known target/non-target stimulus ratios to enable online BCI operation without prior calibration. Subjects performed copy-spelling tasks using a 6×7 character grid across three sessions, achieving 84.5% character accuracy without labeled training data.
[ correlates of memory encoding and retrieval in…
This dataset contains EEG recordings from 16 participants viewing object images presented in eight different 2-D rotations, using rapid visual streams at two presentation rates (5 Hz and 20 Hz). The data support investigation of rotation-tolerant object representations and the time course of high-level visual object processing. EEG data are formatted according to the BIDS standard.