on005692
SpinalExpect_NonInvasive
EEG
…In each trial, the median nerve stimulation was preceded by an auditory…
- Size
- 92.8 GB
- Updated
- Jun 27, 2026
Discover datasets
100 results for "auditory learning" · page 9 of 10 · ranked by relevance
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- nm000229
Gwilliams et al. 2023 — Introducing MEG-MASC: a high-quality magneto-encephalography dataset for evaluating natural speech processing
ANAT MEGMEG-MASC is a high-quality magnetoencephalography dataset comprising raw MEG recordings from 27 English speakers listening to approximately two hours of naturalistic stories from the Manually Annotated Sub-Corpus (MASC). The dataset includes precise temporal annotations of word and phoneme onsets/offsets, organized according to the Brain Imaging Data Structure (BIDS) standard. This benchmark dataset enables large-scale encoding and decoding analyses of neural responses to natural speech processing, with accompanying code for validation analyses including temporal decoding of phonetic features and word frequency effects.
- Citations
- 41
- Size
- 99.3 GB
- Updated
- Jun 3, 2026
- nm000195
Mixture of LLP and EM for a visual matrix speller (ERP) dataset from
EEG…Online performance is reported for three completely unsupervised learning methods: (1) learning…
- Citations
- 26
- Size
- 4.80 GB
- Updated
- Jun 2, 2026
- on003753
EEG: Probabilistic Learning with Affective Feedback: Exp #2
EEG[
ANAT EEGImported from OpenNeuro ds002578
- Size
- 1.33 GB
- Updated
- May 26, 2026
- on005415
Numbers
ANAT BEH iEEG…They were shown auditory and visual numbers that were symbolic (Arabic + spoken…
- Size
- 13.4 GB
- Updated
- Jun 27, 2026
- on005557
Free Recall with Closed-Loop Stimulation at Encoding (Encoding Classifier)
BEH iEEGThis dataset contains intracranial electrophysiology recordings and behavioral data from a delayed free recall task with real-time closed-loop brain stimulation during encoding. Participants studied word lists, performed distractor arithmetic tasks, and freely recalled words while an L2 logistic regression classifier trained on encoding neural features guided stimulation delivery to optimize memory performance. Data were collected across multiple clinical sites as part of a collaborative memory research initiative.
- Size
- 34.7 GB
- Updated
- Jun 27, 2026