Early EEG responses indicate liking for artworks presented in rapid visual streams

Data and code for the paper "Early EEG responses indicate liking for artworks presented in rapid visual streams". Contains: - Neural representational dissimilarity matrices (RDMs) for each participant in two zip files for the slow (3Hz) and fast (20Hz) presentation experiments. Each files (ds_corr.mat) is a 999 (images) X 999 (images) X 110 (time points) matrix. The 110 time points are evenly spaces between -100ms and +1000ms relative to stimulus onset. The images are sorted as in the VAPS database (see the vaps_data.mat file) - Metadata from the VAPS dataset, including image names, categories, and ratings, all in vaps_data.mat - RSA correlations, in rsa_results.mat. This file includes the 7 predictors used in the study (only the lower-left diagnocal of the 999x999 matrices) as well as the partial correlation between the neural and predictor RDMs in two participant X time X predictor matrices (1st cell entry: 3Hz; 2nd cell entry: 20Hz). Use the plotting script (zenodo_plot_rsa.m) for displaying the results. - Scripts to calculate the RSA correlations in rsa_results.mat (zenodo_compute_rsa.m) and for plotting and statistical testing (zenodo_plot_rsa.m) - Output files from the stimulation scripts, in behavioral_files_3Hz.zip and behavioral_files_20Hz.zip. For questions on the matlab files (outputs from psychtoolbox scripts), please get in touch. - Raw data are stored in a separate zenodo repository, see: https://doi.org/10.5281/zenodo.22932789 For further materials and any other inquiries, please contact the corresponding author, [e-mail]