Oikonomou2016 – SSVEP MAMEM 2 dataset
…computer interfaces (BCIs) have been gaining momentum in making human-computer interaction…
- Participants
- 11
- Channels
- 256 (egi-geodesic)
- Citations
- 37
- HED
- v8.4.0
- Size
- 9.72 GB
- Version
- v1.0.3
- Updated
- Oct 8, 2026
…computer interfaces (BCIs) have been gaining momentum in making human-computer interaction…
…Study for Mind-Body-Emotion Interactions (LEMON). Subjects alternated between eyes-closed…
An intracranial EEG (iEEG) dataset recorded from ten epilepsy patients undergoing invasive monitoring for seizure localization. Participants played five sessions of Speed Match, a visuomotor game on the Lumosity platform, during interictal recording. Continuous iEEG recordings are provided in EDF format with channel information and event markers for finger tapping.
[ contains multimodal recordings from 43 participants who watched short educational videos across two sessions. In Session 1 (attentive), participants watched instructional videos with focus. Participants were instructed to watch 3 videos in one attentive condition and 3 different videos in a second attentive condition, and were tested on the videos in the second condition, answering 11 to 12 factual multiple-choice questions after each video. In Session 2 (distracted), the videos were repeated while participants silently counted backwards, and no questions were asked. EEG, EOG, ECG, respiration, pupil size, gaze, and head position were recorded, along with questionnaires including the ASRS adult ADHD checklist.
[ 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.
…Intracranial EEG recordings from 9 human adults during a memory-guided actions…
EEG dataset investigating whether episodic future thinking can reduce temporal discounting. Participants described a series of personal future events and were then cued to think about these events while making intertemporal choices. They also rated the vividness of their mental imagery for each event.