Dimension-based attention modulates early visual processing
Continuous 64-channel scalp EEG from 12 observers performing a visual dimension-based attention (cue) task, originally reported by Gramann, Töllner and Müller (2010). The recordings, 56-66 minutes each, include ICA decomposition weights and expert-annotated independent component labels. The dataset was later used to study automatic multi-class labeling of ICA components and is known as the "Cue" dataset.
- Participants
- 12
- Channels
- 64 (10-10)
- Citations
- 32
- Size
- 5.63 GB
- Version
- v1.0.0
- Updated
- Jun 29, 2026