on007964
Disentangling objects' contextual associations from perceptual and conceptual attributes using time-resolved neural decoding
EEG Zarr
Raw 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