on007663
CrossModal Study
MEG
…distractor auditory) For an illustration of the timing of the task refer…
- Participants
- 27
- Citations
- 2
- Size
- 132 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
Discover datasets
100 results for "distractor identification task" · page 5 of 10 · ranked by relevance
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- on004514
Simultaneous EEG and fNIRS recordings for semantic decoding of imagined animals and tools
EEG NIRSThis dataset comprises simultaneous EEG and fNIRS recordings from 12 participants performing semantic imagery tasks involving silent naming and sensory-based imagination of animals and tools. Participants engaged in visual, auditory, and tactile perception tasks while neural activity was captured using a 64-channel BioSemi EEG system and a NIRx fNIRS imaging system with integrated optodes. The multimodal neuroimaging data supports research in semantic decoding and brain-computer interface applications.
- Participants
- 12
- Channels
- 64 (biosemi)
- Size
- 24.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004457
Electrical stimulation of temporal and limbic circuitry produces distinct responses in human ventral temporal cortex
iEEG…nemar.on004457) # Basis Profile Curve identification in the human ventral temporal cortex…
- Participants
- 5
- Citations
- 15
- Size
- 11.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 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
- on005089
Proactive selective attention across competition contexts
EEGThis dataset contains EEG recordings examining proactive selective attention across different competition contexts. It was collected to investigate how attentional preparation mechanisms adapt to varying levels of stimulus or response competition, contributing to research on cognitive control and attentional selection processes.
- Participants
- 36
- Channels
- 63 (10-10)
- Citations
- 1
- Size
- 68.0 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004865
pyFR: Delayed Free Recall of Word Lists, Preliminary Cognitive Electrophysiology Study
BEH iEEG…from a delayed free recall task. The experiment consists of participants studying…
- Participants
- 49
- Size
- 97.8 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on005691
SpinalExpect_Invasive
iEEG…0000-0002-3694-1887 Brief overview of the tasks in the experiment…
- Participants
- 8
- Size
- 722 MB
- Updated
- Aug 19, 2026
- on007427
Comprehensive methodology for sample enrichment in EEG biomarker studies for Alzheimer’s risk classification
EEG[
- Citations
- 2
- Size
- 13.6 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- on005494
Cued Recall of Paired Associates with Open-Loop Stimulation at Encoding or Retrieval
BEH iEEG…as a distractor, and then completing a cued recall task. The data…
- Participants
- 20
- Size
- 26.3 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on005491
Categorized Free Recall with Open-Loop Stimulation at Encoding
BEH iEEG…There is no stimulation during the distractor or retrieval phases. Stimulation is…
- Participants
- 19
- Size
- 22.5 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026