100 results for "Evoked Potentials, Auditory, Brain Stem" · page 10 of 10 · ranked by relevance
…Adjusted common average referencing for cortico-cortical evoked potential data This dataset…
BigP3BCI Study P is a P300-based brain-computer interface dataset comprising EEG recordings from 19 healthy subjects across 2 sessions each, using a 9x8 character grid spelling paradigm. The dataset contains 32-channel EEG data sampled at 256 Hz with target and non-target visual stimuli annotated using HED 8.4.0 schema. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset, and is optimized for machine learning applications in BCI research.
…form of code-modulated Visual Evoked Potentials (c-VEP) represents a pivotal…
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004860-blue…
This dataset comprises 128-channel EEG recordings collected during a speech production paradigm designed to investigate neural correlates of overt, minimally overt, and covert speech. Participants produced one of five color words under each speech condition, with additional peripheral recordings including EOG, EMG, microphone, and display markers to support speech decoding analyses. The dataset includes both calibration sessions for decoder training and online sessions for real-time decoding evaluation.
BigP3BCI Study Q is a P300-based brain-computer interface dataset comprising EEG recordings from 36 ALS subjects across 3 sessions each, using a 6x6 color intensification speller paradigm. The dataset contains 32-channel EEG data sampled at 256 Hz with standardized 10-20 electrode montage, annotated with target and non-target event labels using HED 8.4.0 schema. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset, and is optimized for machine learning applications in brain-computer interface research.
…An event-related potentials study. Int J Psychophysiol. 2021 Jul;165:56…
This dataset comprises EEG recordings from 8 ALS patients participating in a P300-based brain-computer interface speller paradigm, comparing 9x8 dry and wet electrode configurations. Subjects completed 2 sessions each with visual stimulus presentation and target/non-target classification tasks. The data were acquired at 256 Hz using 16-channel g.USBamp systems and represent a subset of the larger BigP3BCI dataset, the most comprehensive public P300 BCI resource.
…EEG-BIDS, an extension to the brain imaging data structure for electroencephalography…
Imported from OpenNeuro ds002578