TDCS Modulation of Visual Cortex in Motor Imagery
Imported from OpenNeuro ds006126
- Participants
- 6
- Channels
- 3 (other)
- Size
- 1.08 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
100 results for "Visually Evoked Potentials" · page 4 of 10 · ranked by relevance
Imported from OpenNeuro ds006126
…Riemannian geometry, Online, Asynchronous, Brain-Computer Interfaces, Steady State Visually Evoked Potentials…
…SSVEP, BCI, brain-computer interface, EEG, visual evoked potentials, comparative evaluation, signal…
…motion visually evoked potentials, mVEP, BCI, speller, gaze-independent, covert attention, P300…
The PURSUE N2pc Visual Search dataset comprises event-related potential (ERP) recordings from a visual search task conducted across three undergraduate institutions. Data were collected from participants in 2017-2018 and represent a component of the ERP CORE resource for standardized human electrophysiological research. The dataset includes demographic information and is designed to facilitate investigation of the N2pc component, a neural marker of attentional selection during visual search.
This dataset comprises event-related potential (ERP) recordings from a visual oddball task collected as part of the PURSUE project across three primarily undergraduate institutions. Participants performed a P300 oddball paradigm while EEG was recorded in 2017-2018. This dataset is one of the standardized ERP CORE initiative datasets, an open resource for standardized human event-related potential research.
[ recordings acquired during a visual stimulation task. Raw data are organized according to the EEG-BIDS specification and stored in BrainVision format. The dataset represents a single session of data collection and serves as a resource for investigating neural responses to visual stimuli.
…Adjusted common average referencing for cortico-cortical evoked potential data This dataset…
This 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.