Scheduled service maintenance on November 22


On Friday, November 22, 2024, between 06:00 CET and 18:00 CET, GIN services will undergo planned maintenance. Extended service interruptions should be expected. We will try to keep downtimes to a minimum, but recommend that users avoid critical tasks, large data uploads, or DOI requests during this time.

We apologize for any inconvenience.

README.md 1.7 KB

This folder contains the data and code for generating stimuli for the EEG experiment.

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|-- boss_small: smaller versions of the BOSS images.
|-- fig: Figures generated from the code in this folder.
|   |-- counterbalance_split.png: Distirbutional overlap between counterbalanced groups.
|   |-- example_localiser_images.png: Example stimuli for the Localiser task.
|   |-- localiser_stimuli_summary.png: Distirbutional overlap between localiser stimuli population and selected sample.
|   |-- plot_design.png: LexOPS style plot of picture-word stimuli.
|   `-- stimuli_summary.png: Summary of the picture-word stimuli.
|-- latex_tables: All LaTeX tables generated by 04-stimuli_latex_tables.R
|-- randphase: Python functions for randomising image phase.
|-- 01-generate_stimuli.R: Code for generating stimuli.
|-- 02-tabulate_stimuli.Rmd: Code for showing the generated stimuli in a neat summary table.
|-- 03-generate_example_localiser_img.py: Code for creating fig/example_localiser_images.png.
|-- 04-stimuli_latex_tables.R: Code for generating LaTeX tables used in supplementary materials.
|-- boss.csv: Useful variables from the BOSS norms.
|-- localiser_stim.csv: Generated localiser stimuli.
|-- practice_localiser_stim.csv: Generated practice localiser stimuli.
|-- practice_stim.csv: Generated picture-word practice stimuli.
|-- stim.csv: Generated picture-word stimuli (wide format).
|-- stim_tidy.csv: Generated picture-word stimuli (wide format), with useful variables for each item.
|-- stim_tidy_long.csv: Generated picture-word stimuli (long format), with useful variables for each item.
`-- swow_ppmi.csv: Positive pointwise mutual information values from Small World of Words.