…visual - **Stimulus type**: flash - **Stimulus modalities**: visual - **Primary modality**: visual - **Mode**: online…
…The experiment was split into optimization and validation parts. - **Stimulus type**: oddball…
EEG dataset investigating proactive selective attention across different competition contexts. The dataset is mirrored on NEMAR from OpenNeuro (ds005089) and organized in BIDS format.
…BCI during motion (standing/walking/running) - **Stimulus type**: visual flicker - **Stimulus modalities…
…After stimulus offset, participants reported whether patterns were regular or random. For…
…none Stimulus type: visual Stimulus modalities: visual Primary modality: visual Synchronicity: synchronous…
…oddball Stimulus modalities: auditory Primary modality: auditory Synchronicity: synchronous Mode: online Instructions…
EEG dataset recorded while participants performed a visual working memory task in virtual reality using a head-mounted display. Memory items (a bowl, cup, plate and teapot) were cued by either a virtual avatar or a stick, with cues that were spatially valid or invalid. Participants were probed on item location and item status. The dataset includes raw and processed EEG, behavioral data, event codes and analysis code.
…visual - **Stimulus type**: modified matrix speller with flexible highlighting - **Stimulus modalities**: visual…
EmoEEG-MC is a multi-context emotional EEG dataset containing 64-channel EEG and peripheral physiological signals (PPG and GSR) from 60 participants. Emotions were induced in two contexts, video viewing and mental imagery, and covered seven categories: joy, inspiration, tenderness, fear, disgust, sadness and neutral. The dataset is intended to support cross-context emotion decoding, and SVM baselines with L1 regularization achieved above-chance accuracy for binary and seven-category classification.