Liu-Shuang, J. (Joan); Rossion, Bruno; Retter, T.L. (Talia) (2020): Meta Analysis Face Individuation, supplementary to the paper “Understanding human individuation of unfamiliar faces with oddball fast periodic visual stimulation and electroencephalography". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:8e8cfaf2-ab00-45b2-90a0-623fabf75ca9

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Categories

• Artificial Intelligence and Image Processing
• Cognitive Sciences
• Physiology

Keywords

EEG Frequency-tagging Human face recognition

Licence

CC0

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by J. (Joan) Liu-Shuang , Bruno Rossion , T.L. (Talia) Retter

EEG data from 7 experiments included in a large-scale analysis for the paper “Understanding human individuation of unfamiliar faces with oddball fast periodic visual stimulation and electroencephalography” by B. Rossion, T. Retter, & J. Liu-Shuang published in European Journal of Neuroscience. Data of N = 130 participants, with 79 participants tested with upright and inverted faces in an oddball individuation paradigm. The epoched EEG data of each individual, pre-FFT, are included in the dataset (format Letswave 5, free software for EEG data analysis: {https://www.letswave.org}).

History

• 2020-06-09 first online, published, posted

Publisher

4TU.Centre for Research Data

Format

media types: application/octet-stream, application/x-matlab-data, application/zip, text/plain

References

• https://face-categorization-lab.webnode.com/publications/

Organizations

Université de Lorraine: Nancy, France