Bayesian Surprise Predicts Human Event Segmentation in Story Listening

<p>This repository contains data and code for the paper:&nbsp;<a href="https://psyarxiv.com/qd2ra/">https://psyarxiv.com/qd2ra/</a></p><p>The embeddings and outputs from GPT-2 are in the extract-embeddings-data.zip file.</p><p>The button press data is in the button-press-proportions.zip file. Button press measures computed using kernel density estimates are stored in files with the suffix "density".</p><p>The derived measures of disfluency are in the disfluency_measures.zip file. In this folder the files {story_name}_processed.csv contain the disfluency measures for each story.</p><p>The results from the analysis are in the results.zip and supplementary_results_kernel_density.zip files.</p><p>The code is available at <a href="https://github.com/manojneuro/bayesiansurprise">https://github.com/manojneuro/bayesiansurprise</a></p>