Cognitive Electrophysiology in Socioeconomic Context in Adulthood: An EEG dataset
…acquired from the Event-Related Potentials Compendium of Open Resources and Experiments…
- Participants
- 127
- Channels
- 27
- Size
- 10.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "Broad-Band Visually Evoked Potentials" · page 6 of 10 · ranked by relevance
…acquired from the Event-Related Potentials Compendium of Open Resources and Experiments…
This dataset comprises simultaneous EEG and fNIRS recordings from 12 participants performing semantic imagery tasks involving silent naming and sensory-based imagination of animals and tools. Participants engaged in visual, auditory, and tactile perception tasks while neural activity was captured using a 64-channel BioSemi EEG system and a NIRx fNIRS imaging system with integrated optodes. The multimodal neuroimaging data supports research in semantic decoding and brain-computer interface applications.
…Adjusted common average referencing for cortico-cortical evoked potential data This dataset…
…SSVEP, BCI, brain-computer interface, EEG, visual evoked potentials, signal processing, feature…
…reactive BCI, c-VEP, visual evoked potentials ## Documentation - **Description**: Burst c-VEP…
The MNE-Sample-Data dataset comprises simultaneous MEG and EEG recordings acquired from a single subject using a Neuromag Vectorview system at the Martinos Center for Biomedical Imaging. The experiment involved visual stimulation (checkerboard patterns presented to left and right visual fields) 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.
…form of code-modulated Visual Evoked Potentials (c-VEP) represents a pivotal…
…years old where Cortico-Cortical Evoked Potentials (CCEPs) were recorded with Electro…
BigP3BCI Study O is a P300-based brain-computer interface dataset comprising EEG recordings from 18 ALS subjects across 2 sessions each. Participants performed a visual speller task using a 9x8 character grid with supervised/checkerboard stimulus paradigm. The dataset contains 32-channel EEG data sampled at 256 Hz, annotated with target and non-target event labels, and is part of the larger BigP3BCI collection representing one of the most comprehensive public P300 BCI datasets.