on004357
Features-EEG
EEG Zarr
…Mapping the Dynamics of Visual Feature Coding: Insights into Perception and Integration…
- Participants
- 16
- Citations
- 30
- Size
- 69.6 GB
- Version
- v1.0.0
- Updated
- Jun 24, 2026
Discover datasets
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- on004043
The time-course of feature-based attention effects dissociated from temporal expectation and target-related processes
EEG Zarr[
BEH iEEG Zarr…These z-transformed log power values represent the feature matrix, and the…
- Participants
- 9
- Size
- 12.2 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
- on005557
Free Recall with Closed-Loop Stimulation at Encoding (Encoding Classifier)
BEH iEEG Zarr…These z-transformed log power values represent the feature matrix, and the…
- Participants
- 18
- Size
- 34.7 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
- nm000199
Learning from label proportions for a visual matrix speller (ERP)
EEG Zarr…LLP (Learning from Label Proportions), shrinkage-LDA, EM-algorithm - **Feature extraction**: mean…
- Participants
- 13
- Channels
- 31 (10-10)
- Citations
- 46
- HED
- v8.4.0
- Size
- 5.15 GB
- Version
- v1.0.3
- Updated
- Oct 8, 2026
- nm000346
Castillos et al. 2023, m-sequence c-VEP, 100% amplitude depth: Burst c-VEP Based BCI: Optimizing stimulus design for enhanced classification with minimal calibration data and improved user experience
EEG Zarr…Convolutional Neural Network (CNN) Feature extraction: Sliding windows (250ms, 2ms stride), Standard…
- Participants
- 12
- Channels
- 32 (10-10)
- Citations
- 18
- HED
- v8.4.0
- Size
- 352 MB
- Version
- v1.0.3
- Updated
- Oct 8, 2026
- nm000342
Castillos et al. 2023, m-sequence c-VEP, 40% amplitude depth: Burst c-VEP Based BCI: Optimizing stimulus design for enhanced classification with minimal calibration data and improved user experience
EEG Zarr…CNN (Convolutional Neural Network) Feature extraction: sliding windows, bitwise decoding Cross-Validation…
- Participants
- 12
- Channels
- 32 (10-10)
- Citations
- 19
- HED
- v8.4.0
- Size
- 340 MB
- Version
- v1.0.3
- Updated
- Oct 8, 2026
- nm000344
Castillos et al. 2023, Burst c-VEP, 100% amplitude depth: Burst c-VEP Based BCI: Optimizing stimulus design for enhanced classification with minimal calibration data and improved user experience
EEG Zarr…Convolutional Neural Network (CNN), Pearson correlation Feature extraction: CNN spatial filtering (8x1…
- Participants
- 12
- Channels
- 32 (10-10)
- Citations
- 18
- HED
- v8.4.0
- Size
- 352 MB
- Version
- v1.0.3
- Updated
- Oct 8, 2026
- on007964
Disentangling objects' contextual associations from perceptual and conceptual attributes using time-resolved neural decoding
EEG ZarrRaw 128-channel EEG data from 20 observers viewing object images in a rapid presentation paradigm, together with representational dissimilarity matrices. The dataset supports time-resolved neural decoding analyses that separate objects' contextual associations from their perceptual and conceptual attributes. One participant was excluded because of a technical recording error, leaving 19 usable participants.
- Participants
- 19
- Citations
- 2
- Size
- 18.9 GB
- Version
- v1.0.0
- Updated
- Jun 17, 2026
- on005087
rapid-hemifield-object-eeg
EEG Zarr…Dynamics of visual object coding within and across the hemispheres: Objects in…
- Participants
- 20
- Citations
- 10
- Size
- 58.8 GB
- Version
- v1.0.0
- Updated
- Jun 26, 2026