Bluetooth speaker experiment (14 subjects, 6 classes, 31 EEG ch)
- Participants
- 14
- Citations
- 9
- HED
- v8.4.0
- Size
- 320 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
95 results for "music cognition" · page 9 of 10 · ranked by relevance
This dataset comprises EEG recordings from healthy adults listening to naturalistic speech segments from an audiobook. Brain activity was recorded using a 128-channel ActiveTwo EEG system while subjects listened to passages from "The Old Man and the Sea," with concurrent phoneme and word-level timing annotations. The unfiltered, unreferenced recordings sampled at 512 Hz provide raw neural responses to continuous speech stimuli for investigating cortical entrainment and speech comprehension mechanisms.
This dataset investigates the search superiority effect in human memory, examining whether incidental learning during visual search produces qualitatively different memory representations compared to intentional memorization. Thirty participants performed visual search and intentional memorization tasks on real-world scenes, followed by a surprise recognition memory test. The study combines EEG recordings with eye-tracking and behavioral measures (remember-know judgments and receiver operating characteristics) to dissociate the contributions of recollection and familiarity processes to recognition memory.
This dataset comprises EEG recordings and behavioral responses from participants viewing scene images and rating their aesthetic properties (beauty, complexity, interestingness) and contextual appropriateness for reading or social activities. The study investigates neural correlates of environmental perception and aesthetic judgment, with extracted behavioral data and complete stimulus set provided for reproducibility and further analysis.
This dataset comprises simultaneous intracranial EEG, scalp EEG, and beamforming-reconstructed source data from fifteen epilepsy patients performing a verbal working memory task. Subjects completed a modified Sternberg task with temporally separated encoding, maintenance, and recall phases. The dataset includes electrode coordinates, anatomical labels, and trial-level behavioral information, enabling investigation of working memory mechanisms through multimodal electrophysiological recordings and source reconstruction.
VocalMind is a stereotactic EEG (sEEG) dataset comprising intracranial recordings from one participant performing vocalized, mimed, and imagined speech tasks in Mandarin Chinese, a tonal language. The dataset supports research on speech decoding, brain-computer interfaces, and neural mechanisms of overt and covert speech production. Raw recordings sampled at 1000 Hz were converted to BIDS iEEG format with event markers indicating stimulus onsets for each speech modality.
This magnetoencephalography (MEG) dataset comprises recordings from 20 adult participants viewing simple geometric shapes (hexagons, triangles, quadrilaterals) and other visual stimuli. The study investigates the neural mechanisms underlying human perception of regular geometric shapes, examining how the brain processes discrete geometric regularities such as symmetries and parallelism. The dataset supports research into the specialized brain systems engaged in abstract geometric perception and their distinction from general visual processing.
This EEG dataset comprises electrophysiological recordings from 53 subjects performing a bilateral change-detection task designed to investigate how perceptual grouping based on color repetition influences visual working memory (VWM) processing. Using event-related potentials (ERPs), the study temporally isolates neural correlates of distinct VWM stages—individuation encoding, maintenance, initial comparison, percept-memory comparison, and decision making—through specific ERP markers (N2pc, CDA, N2, FN400). The dataset includes 1,248 trials recorded at 512 Hz from a 71-channel BioSemi ActiveTwo system and is structured according to BIDS standards.
This dataset comprises EEG recordings from 24 dyads of participants engaged in collaborative rule learning and categorization tasks. Participants first negotiated rules for a 4-way categorization task, then performed the task while EEG was recorded, with pre- and post-test assessments on identical stimuli. The study investigates information alignment between interacting brains during collaborative learning.