on004357
Features-EEG
EEG
…Mapping the Dynamics of Visual Feature Coding: Insights into Perception and Integration…
- Participants
- 16
- Citations
- 27
- Size
- 69.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "feature coding" · page 1 of 10 · ranked by relevance
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- on004043
The time-course of feature-based attention effects dissociated from temporal expectation and target-related processes
EEG[
BEH iEEG…These z-transformed log power values represent the feature matrix, and the…
- Participants
- 9
- Size
- 12.2 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on005557
Free Recall with Closed-Loop Stimulation at Encoding (Encoding Classifier)
BEH iEEG…These z-transformed log power values represent the feature matrix, and the…
- Participants
- 18
- Size
- 34.7 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000199
Learning from label proportions for a visual matrix speller (ERP)
EEG…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
- v1.0.2
- Updated
- Aug 18, 2026
- on007964
Disentangling objects' contextual associations from perceptual and conceptual attributes using time-resolved neural decoding
EEGThis dataset contains 128-channel EEG recordings from 20 observers (19 included in final analysis) viewing object images at 3.33 Hz to investigate how contextual associations, perceptual attributes, and conceptual properties of objects are represented in neural activity. One participant was excluded due to a technical error in EEG recording. Time-resolved neural decoding was applied to disentangle these distinct representational dimensions from the EEG signals.
- Participants
- 20
- Citations
- 2
- Size
- 18.9 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005087
rapid-hemifield-object-eeg
EEG…Dynamics of visual object coding within and across the hemispheres: Objects in…
- Participants
- 20
- Citations
- 11
- Size
- 58.8 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000232
THINGS-EEG2: A large and rich EEG dataset for modeling human visual object recognition
EEGTHINGS-EEG2 is a large-scale EEG dataset comprising recordings from 10 subjects viewing 16,540 distinct training images and 200 test images presented via rapid serial visual presentation at 5 Hz. The dataset includes 63-channel EEG data sampled at 1000 Hz across 4 sessions per subject, with approximately 32,540 training trials and 16,000 test trials, designed to support computational modeling of human visual object recognition. Stimuli are drawn from the THINGS database, and the dataset includes resting-state recordings and behavioral annotations for each trial.
- Participants
- 10
- Channels
- 63 (10-10)
- Citations
- 82
- Size
- 198 GB
- Version
- v1.1.0
- Updated
- Jul 10, 2026
- nm000118
Nakanishi2015 – SSVEP Nakanishi 2015 dataset
EEG Zarr verified…12-class SSVEP target identification task with joint frequency and phase coding…
- Participants
- 9
- Channels
- 8 (10-10)
- Citations
- 92
- HED
- v8.4.0
- Size
- 196 MB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on004152
Drum Trainer
BEH EEG[
- Citations
- 1
- Size
- 4.77 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026