EEG data analyzed in "A Representational Similarity Analysis of the Dynamics of Object Processing Using Single-Trial EEG Classification"
- The data package contains 10 anonymized datasets of scalp-recorded EEG in MATLAB (.mat) format. Each .mat file contains EEG data from one experimental subject. Data matrices have been preprocessed and are presented as 2D trials-by-feature matrices and 3D electrodes-by-time-by-trial matrices. Dimensionality reduction/PCA has not been performed.
|Type of resource
|Perreau Guimaraes, Marcos
|Norcia, Anthony M.
|Center for the Study of Language and Information
|Stanford Department of Psychology
|Stanford Department of Electrical Engineering
|Kaneshiro B, Perreau Guimaraes M, Kim HS, Norcia AM, and Suppes P (2015). A Representational Similarity Analysis of the Dynamics of Object Processing Using Single-Trial EEG Classification. PLoS ONE 10(8): e0135697. doi:10.1371/journal.pone.0135697
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- This work is licensed under a Creative Commons Attribution 3.0 Unported license (CC BY).
- Preferred Citation
- Kaneshiro B, Perreau Guimaraes M, Kim HS, Norcia AM, and Suppes P (2015). EEG data analyzed in "A Representational Similarity Analysis of the Dynamics of Object Processing Using Single-Trial EEG Classification". Stanford Digital Repository. Available at: http://purl.stanford.edu/bq914sc3730
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