P300 dataset from initial spot study
…Electroencephalogram signals recorded from 13 healthy subjects during an auditory oddball paradigm…
- Participants
- 13
- Citations
- 2
- HED
- v8.4.0
- Size
- 2.82 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "auditory entrainment" · page 8 of 10 · ranked by relevance
…Electroencephalogram signals recorded from 13 healthy subjects during an auditory oddball paradigm…
[ listening to 40 music clips of 12 s duration each of varying emotional content. The study investigates neural correlates of music-induced emotion through six runs of EEG recordings, including resting-state baseline and four music listening runs. Data were collected at 1 kHz sampling rate and are accompanied by participants' self-reported emotional responses, providing a resource for studying the relationship between brain activity and affective music perception. The musical stimuli were excerpts from film scores selected from Eerola & Vuoskoski (2010).
…They were shown auditory and visual numbers that were symbolic (Arabic + spoken…
…In each trial, the median nerve stimulatino was preceded by an auditory…
…10.82901/nemar.on003082) # Brainstorm - Auditory Cortex Mapping Dataset ## License This dataset…
This dataset contains scalp EEG recordings from healthy young adults exposed to one hour of 40 Hz audiovisual flicker stimulation, no-flicker control, or randomized sham flicker, while performing a psychomotor vigilance task. The dataset aims to investigate the neural effects of multisensory gamma-frequency flicker stimulation in humans.
…Subjects received auditory cues ('links' for left, 'rechts' for right) and performed…
…S., & Kuhl, P. K. (2021). Auditory deficits in infants at risk for…
This dataset contains magnetoencephalography (MEG) recordings from 12 participants listening to continuous narrative speech (an audiobook), plus an empty-room recording. It was collected to investigate how the brain integrates local and unified predictive linguistic models during incremental speech processing, examining neural signatures of sublexical, word-level, and sentence-level predictive representations. The dataset includes stimulus files (audio-derived gammatone features, TextGrid annotations) and derivatives (FreeSurfer outputs, MNE processing files, predictors).