sEEG Forced Two-Choice Task
…Journal of Neural Engineering. https://doi.org/10.1088/1741-2552/acae0a…
- Participants
- 8
- Citations
- 6
- Size
- 14.5 GB
- Version
- v1.0.0
- Updated
- Jun 24, 2026
…Journal of Neural Engineering. https://doi.org/10.1088/1741-2552/acae0a…
EEG recordings from participants viewing 200 object images presented in rapid serial visual presentation (RSVP) streams at 5 Hz or 20 Hz. The dataset supports investigation of the temporal representational dynamics of visual object processing under rapid presentation conditions. It accompanies a published NeuroImage study on object representations in RSVP streams.
…featuring simultaneous **EEG and eye-tracking** data collected during naturalistic reading with…
…of cognitive overload; (2) studying neural (event-related potentials and brain oscillations…
THINGS-EEG2 is a large EEG dataset from 10 participants who viewed 16,540 training images and 200 repeatedly presented test images from the THINGS database. Images were shown in rapid serial visual presentation at 5 Hz while 63-channel EEG was recorded at 1000 Hz across four sessions per subject. The dataset supports modeling of human visual object recognition and includes resting-state recordings, the authors' preprocessed epochs, and stimulus images.
A multimodal neuroimaging dataset (EEG, anatomical MRI and functional MRI) for studying the spatiotemporal dynamics of visual processing in the human brain, as described by the dataset title. This is a NEMAR-hosted copy of OpenNeuro dataset ds002814. The associated article was under review at the time of the record. The source README is an unfilled placeholder, so further study details are not available in the dataset documentation. Contact the corresponding authors (Seyed-Mahdi Khaligh-Razavi, Fatemeh Ebrahiminia) for more information.
A preprocessed derivative EEG dataset from BCI Competition 2020 Track 4, containing motor imagery recordings of three right-arm grasping tasks (cylindrical, spherical, lumbrical) from 15 healthy subjects across three sessions. It provides 60-channel EEG at 250 Hz with 450 trials per subject, and is intended for evaluating session-to-session transfer learning in brain-computer interfaces. Data were notch filtered and epoched to the 4 s motor imagery window, and re-hosted in BIDS format via MOABB.
…Privacy ------- This dataset contains only fNIRS optical measurements and eye-tracking time…
…encephalographic (EEG) recordings, (ii) eye tracking (ET) recordings, (iii) questionnaire responses (demographic…
…limb sensorimotor coverage (7 analysed neurally). No seizures occurred during task administration…