CastillosCVEP100
…CNN-based decoding with 250ms sliding windows. Subjective ratings collected for visual…
- Participants
- 12
- Channels
- 32 (10-10)
- Citations
- 21
- HED
- v8.4.0
- Size
- 352 MB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
100 results for "phonetic decoding" · page 10 of 10 · ranked by relevance
…CNN-based decoding with 250ms sliding windows. Subjective ratings collected for visual…
This dataset comprises electroencephalography (EEG) recordings investigating the neural correlates of syntactic structure and lexical properties using frequency tagging methodology. Participants were presented with linguistic stimuli while EEG activity was recorded to identify frequency-specific neural responses associated with different linguistic features. The dataset provides raw neurophysiological data suitable for studying the temporal dynamics of language processing at the neural level.
This dataset contains EEG recordings from elderly patients with dementia undergoing 40Hz auditory gamma-band entrainment sessions. The study investigates whether auditory stimulation modulated at 40Hz can entrain brain oscillations and enhance functional connectivity, particularly within the default mode network, as a potential intervention for Alzheimer's disease symptoms. Both short and long entrainment sessions were conducted to accommodate participant tolerance, with EEG data collected using a 19-channel 10/20 system setup.
…We evaluated the decoding accuracies for the individual paradigms and determined performance…
[ dataset collected during audio processing tasks. The dataset contains raw fNIRS measurements organized according to the Brain Imaging Data Structure (BIDS) standard. This dataset supports research into auditory neuroscience and the neural correlates of sound processing. NOTE: Dataset status should be verified as complete and finalized before DOI minting.
[ scans for anatomical reference and electrode localization. Collected at the Combinatorial NeuroImaging core facility of the Leibniz Institute for Neurobiology, the data support research into multi-dimensional auditory category learning and its neural correlates.
This dataset comprises high-density and sparse functional near-infrared spectroscopy (fNIRS) measurements acquired during a Word-Color Stroop task. The study investigates whether high-density multi-distance fNIRS configurations enhance detection of brain activity compared to conventional sparse probe arrangements. Raw neuroimaging data from multiple participants are provided in BIDS format to support reproducible analysis of cognitive control mechanisms.
The experiments were conducted in an acoustically isolated room where only the…