EEG dataset_Bonfanti et al 2026_Neuroscience of Consciousness
Abstract
This dataset is from the article "From encoding to conscious report: Electrophysiological signatures of iconic memory revealed by a partial report task" by Bonfanti et al., 2026, Neuroscience of Consciousness. It is composed by 23 .set files (raw EEG datasets imported in EEGLAB) and 23 .mat files (MATLAB files indicating for each participant the valid trials, i.e., trials with 3/3 correct answers on which subsequent preprocessing and analyses are based). The first number in the file name is the identifying code for each participant. The following "2000-500"/"500-2000" refers to the balancing conditions: The first identifies participants for whom the high-frequency tone (2000 Hz) was associated with left responses, while the low-frequency tone (500 Hz) was associated with right responses; The second combination indicates the opposite balancing condition (500 Hz = left / 2000 Hz = right).
Fields of Study & Subjects
Memory Processes and Influences
Neural dynamics and brain function
Philosophy and Theoretical Science
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 4 March 2026
- Language
- EN
- Document type
- Dataset