100 results for "Event-related potentials" · page 7 of 10 · ranked by relevance
…interfaces (BCIs) based on event related potentials (ERPs) strive for offering communication…
This dataset contains non-invasive electrophysiological recordings from the human spinal cord in 30 healthy young adults during a temporal expectation paradigm. Subjects received electric median nerve stimulation preceded by an auditory cue with either fixed or variable timing, allowing investigation of whether temporal expectation modulates initial sensory processing at the spinal level. Recordings used a specialized multi-ring electrode montage around the neck to capture spinal cord signals.
…1 - **Events**: Target=2, NonTarget=1 - **Trial interval**: [0, 1] s - **File…
Chisco-2.0 is an imagined speech EEG dataset comprising raw EDF recordings from two participants (sub-01 and sub-02). It is intended to support research into decoding imagined speech from electroencephalographic signals, providing a resource for brain-computer interface and speech neuroscience studies.
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THINGS-EEG2 is a large-scale EEG dataset comprising recordings from 10 subjects viewing 16,540 distinct training images and 200 test images presented via rapid serial visual presentation at 5 Hz. The dataset includes 63-channel EEG data sampled at 1000 Hz across 4 sessions per subject, with approximately 32,540 training trials and 16,000 test trials, designed to support computational modeling of human visual object recognition. Stimuli are drawn from the THINGS database, and the dataset includes resting-state recordings and behavioral annotations for each trial.
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This dataset contains neuroimaging recordings from 29 participants investigating human brain responses to nociceptive stimulation. The study examines neural activity patterns during concomitant stimulation of Aδ and C nociceptors, contributing to understanding of pain processing mechanisms in the human brain.
…3 - **Events**: Target=2, NonTarget=1 - **Trial interval**: [0, 0.8] s…
This dataset contains raw EEG and behavioral data collected to investigate the common neural mechanisms underlying subjective experiences of passage of time. Participants completed behavioral tasks assessing subjective time perception while EEG was recorded. The data are organized in BIDS format to facilitate reuse and reanalysis by the neuroscience community.