Disentangling objects' contextual associations from perceptual and conceptual attributes using time-resolved neural decoding
This 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.
- Citations
- 2
- Size
- 18.9 GB
- Updated
- Jun 17, 2026