Optimising the classification of feature-based attention in frequency-tagged electroencephalography data
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https://researchdata.edu.au/optimising-classification-feature-electroencephalography-data/3369624
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资源简介：
The data repository for the feature-based attention classification dataset contains four top level folders. Top level folders include “FeatAttnClassification\ExperimentalTask\”, which contains the MATLAB code used to run the experimental task, “FeatAttnClassification\Data\”, which contains all EEG and behavioural data, “FeatAttnClassification\AnalysisScripts\”, which contains the code used for technical validation, and “FeatAttnClassification\Results\”, which contains the files output by the analysis scripts. The data folder follows the BIDS specification for folder hierarchy. Critical information regarding the experimental task parameters, display settings, EEG recording settings and triggers is contained in the file “FeatAttnClassification\Data\helperdata.mat”.
提供机构：
The University of Queensland
