on007666
Grupos Pre and Post bids
EEG
[
- Size
- 619 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "optical neuroimaging" · page 8 of 10 · ranked by relevance
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- on004624
Intracranial recordings using BCI2000 and the CorTec BrainInterchange
ANAT iEEGThis dataset comprises intracranial electrophysiological recordings acquired using BCI2000 software and the CorTec BrainInterchange device. The study establishes an integrated ecosystem of technologies and protocols for adaptive neuromodulation research in human subjects, combining invasive neural recordings with brain-computer interface capabilities.
- Participants
- 3
- Size
- 19.3 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004502
Anticipatory differences between Attention and Expectation
EEG[
- Size
- 59.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000274
BEETL Competition 2021 Motor Imagery Dataset B — transfer learning benchmark
EEGBeetl2021-B is a preprocessed 32-channel EEG dataset from the NeurIPS 2021 BEETL competition designed for benchmarking transfer learning and domain adaptation algorithms in motor imagery brain-computer interfaces. The dataset comprises EEG recordings from 2 healthy subjects performing 4-class motor imagery tasks (left hand, right hand, feet, and rest) sampled at 200 Hz, with 1590 total trials organized for cross-subject and cross-dataset generalization assessment.
- Participants
- 2
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 31.3 MB
- Updated
- Jul 10, 2026
- on005571
Expectation of Conflict Stimuli
ANAT EEG FMAP FUNC[
- Size
- 63.3 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000220
BEETL Competition 2021 Motor Imagery Dataset A — transfer learning benchmark
EEGBeetl2021-A is a preprocessed motor imagery EEG dataset from the BEETL Competition Task 2 (NeurIPS 2021), comprising data from 3 healthy subjects collected during an online racing game (Cybathlon2020IC). The dataset contains 63-channel EEG recordings at 500 Hz with four-class motor imagery tasks (rest, left hand, right hand, feet) and serves as a benchmark for evaluating transfer learning and domain adaptation methods across heterogeneous EEG datasets and subjects. This dataset is part of a larger competition focused on advancing transfer learning for subject independence and cross-dataset generalization in brain-computer interfacing.
- Participants
- 3
- Channels
- 63 (10-10)
- HED
- v8.4.0
- Size
- 216 MB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on005089
Proactive selective attention across competition contexts
EEG[
- Size
- 68.0 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003688
Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film
ANAT FUNC iEEGThis open multimodal dataset combines intracranial electroencephalography (iEEG) and functional magnetic resonance imaging (fMRI) recordings from patients during naturalistic audiovisual film stimulation. The dataset includes simultaneous electrocorticography and fMRI data collected during a short film presentation, providing a unique resource for investigating neural responses to complex naturalistic stimuli across multiple recording modalities and spatial scales.
- Participants
- 63
- Size
- 15.3 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006903
ball_squeeze_2025
NIRS[ and auditory stimulation (tones to left and right ears), with occasional face stimuli requiring motor responses. Structural MRI data from a 1.5 T Siemens scanner and Freesurfer-derived anatomical derivatives are included, providing a comprehensive reference dataset for MEG/EEG analysis and method development.
- Participants
- 2
- Size
- 1.93 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026