EEG data analyzed in "A Representational Similarity Analysis of the Dynamics of Object Processing Using Single-Trial EEG Classification"

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Abstract/Contents

Abstract: 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	software, multimedia
Date created	2015

Subject	Center for the Study of Language and Information
Subject	Stanford Department of Psychology
Subject	Stanford Department of Electrical Engineering
Genre	Dataset

Related Publication	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
Related item	Title Kaneshiro et al. (2015) PLoS ONE paper.
Location	https://purl.stanford.edu/bq914sc3730

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License: 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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