EEG dataset_Bonfanti et al 2026_Neuroscience of Consciousness

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Authors: Davide Bonfanti, Sonia Mele, Elena Bertacco, Chiara Mazzi, Silvia Savazzi
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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