on003458
EEG: Three armed bandit gambling task
EEG
…This makes the task great for investigating reward processing & reward prediction error…
- Participants
- 23
- Channels
- 64 (10-10)
- Size
- 4.72 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "speech processing" · page 9 of 10 · ranked by relevance
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- on005574
The "Podcast" ECoG dataset
ANAT iEEGThis dataset comprises intracranial electrocorticography (ECoG) recordings from 9 epilepsy patients implanted with grid, depth, and strip electrodes (1,330 electrodes total), collected while participants listened to a 30-minute naturalistic story containing over 5,000 words. It provides raw and minimally preprocessed (high-gamma band) neural data along with aligned auditory stimuli, word-level transcripts, and linguistic features spanning low-level acoustics to large language model embeddings. The dataset is intended to support research on natural language comprehension using high-fidelity invasive recordings and includes tutorials replicating prior findings.
- Participants
- 9
- Citations
- 4
- Size
- 14.4 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004262
Continuous Feedback Processing
BEH EEG…82901/nemar.on004262) # Continuous Feedback Processing Twenty-one participants learned to predict…
- Participants
- 21
- Channels
- 31 (10-10)
- Size
- 3.48 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000199
Learning from label proportions for a visual matrix speller (ERP)
EEGThis dataset comprises event-related potential (ERP) recordings from 13 healthy subjects performing a visual matrix speller task using a calibrationless brain-computer interface approach. The study introduces learning from label proportions (LLP), an unsupervised classification method that exploits known target/non-target stimulus ratios to enable online BCI operation without prior calibration. Subjects performed copy-spelling tasks using a 6×7 character grid across three sessions, achieving 84.5% character accuracy without labeled training data.
- Participants
- 13
- Channels
- 31 (10-10)
- Citations
- 46
- HED
- v8.4.0
- Size
- 5.15 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on005964
FRESH Audio Dataset
NIRS[
- Size
- 686 MB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- on004067
Moral conviction and metacognitive ability shape multiple stages of information processing
EEG[ dataset from
EEGThis dataset comprises EEG recordings from a P300 visual matrix speller study comparing three unsupervised learning methods (Expectation-Maximization, Learning from Label Proportions, and their combination MIX) for brain-computer interface decoding. Twelve healthy participants performed a copy-spelling task using a modified 6×6 character grid extended with 10 # symbols as visual blanks (46 total symbols), recorded at 1000 Hz from 31 EEG channels. The study demonstrates that unsupervised learning methods can achieve performance comparable to supervised approaches without requiring calibration data.
- Participants
- 12
- Channels
- 31 (10-10)
- Citations
- 26
- HED
- v8.4.0
- Size
- 4.81 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on007968
Narrative Reward
BEH EEG[
- Citations
- 81
- Size
- 4.30 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026