Source data, analysis code and stimuli material for the paper ------------------------------------------------------------- In this repository, you will find all the data and code needed to recreate the results that appear in the paper, as well as files that can help you evaluate or even re-create the stimuli that were used in the experiments. Recreating the exact results ---------------------- To see what calculations were used to create exactly the statistics and p-values that are reported in the paper, download the folder: analysis_withRandomizationResults This folder contains the source data and analysis code, as well as the results of all the randomization processes that are used in the analysis procedure (bootstrapping and permutation). In the folder "Code", run the MATLAB script: Main_Generate_Statistics.mlx This is a livescript MATLAB script file, that uses the source data and the results of the randomization procedures to calculate all the statistics and p-values, as well as to recreate all the plots. Recreating the results, including re-running randomizations ----------------------------------------------------------- To evaluate the code that was used to run the randomization processes, and re-create their results, you only need to download the lighter folder, including only the source data and analysis code: analysis_onlyCodeAndOriginalData Then, in the "Code" subfolder, run the script: Main_Redo_Randomizations.mlx This is a livescript MATLAB script file, that uses the source data to recreate all the randomization processes used in the analyses - bootstrapping and permutation. Notice that these procedures might take a long time to complete, from hours to days. After completing the randomization process, you can run the main results production script: Main_Generate_Statistics.mlx And follow the instructions in the code itself, showing you how to redirect its source folder of randomization results, to the one that the previous code created.