on006065
TSS_iEEG
iEEG
…protocol: - **Pre-stimulation evoked potentials** - **Post-stimulation evoked potentials** - **Pre-stimulation rest…
- Participants
- 7
- Size
- 9.63 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "Broad-Band Visually Evoked Potentials" · page 4 of 10 · ranked by relevance
-
- nm000242
Visual imagery EEG dataset from Gao et al 2026
EEG…CSP, deep_learning - **Frequency bands**: bandpass=[5.0, 30.0] Hz - **Spatial…
- Participants
- 22
- Citations
- 1
- HED
- v8.4.0
- Size
- 31.7 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000134
Alljoined-1.6M
EEG- Participants
- 20
- Channels
- 32 (10-10)
- Citations
- 1
- Size
- 7.75 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on006394
Electrophysiological markers of surprise-induced failures of visual and auditory awareness
BEH EEGThis dataset contains electrophysiological recordings from 33 participants performing visual and auditory surprise detection tasks. The study investigates electrophysiological markers associated with surprise-induced failures of awareness across sensory modalities. EEG data were collected during counterbalanced presentation of visual and auditory oddball-like tasks, with detailed event annotations and preprocessing information provided for reproducibility.
- Participants
- 33
- Channels
- 16 (10-20)
- Size
- 521 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000193
Kojima et al. 2024 (Dataset A) — An auditory brain-computer interface based on selective attention to multiple tone streams
EEG…50.0 Hz - **Online filters**: {'bandpass': '0.1 Hz to 100 Hz…
- Participants
- 11
- Channels
- 64 (10-10)
- Citations
- 8
- HED
- v8.4.0
- Size
- 3.74 GB
- Version
- vv1.0.1
- Updated
- Jul 10, 2026
- nm000188
BNCI 2014-009 P300 dataset
EEG…Complete record of P300 evoked potentials recorded with BCI2000 using two different…
- Participants
- 10
- Channels
- 16 (10-10)
- Citations
- 79
- HED
- v8.4.0
- Size
- 70.0 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000340
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study J)
EEGBigP3BCI Study J is a P300-based brain-computer interface dataset comprising EEG recordings from 20 healthy subjects performing a 9x8 character grid speller task. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset with ~267 subjects across 20 studies. The data were acquired at 256 Hz using 16-channel EEG with a standard 10-20 montage and are organized in BIDS format with HED event annotations for standardized analysis and machine learning applications.
- Participants
- 20
- Channels
- 16 (10-10)
- HED
- v8.4.0
- Size
- 426 MB
- Version
- vv1.0.1
- Updated
- Jul 10, 2026
- nm000118
Nakanishi2015 – SSVEP Nakanishi 2015 dataset
EEG…for detecting steady-state visual evoked potentials. This study performed a comparison…
- Participants
- 9
- Channels
- 8 (10-10)
- Citations
- 92
- HED
- v8.4.0
- Size
- 65.1 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on003374
Dataset of neurons and intracranial EEG from human amygdala during aversive dynamic visual stimulation
iEEG[
EEGThis EEG dataset contains neural recordings from 34 participants performing a visual object recognition task using a curated stimulus set of 242 images (121 challenge and 121 control images). Participants viewed sequences of 14 images presented for 200 ms each with 100 ms interstimulus intervals and performed a detection task. The dataset includes time-resolved decoding analyses examining adaptive recruitment of cortical recurrence mechanisms during visual object recognition.
- Participants
- 34
- Channels
- 63 (10-10)
- Size
- 59.6 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026