# The Features that Drive the Memorability of Objects
Max A. Kramer, Martin N. Hebart, Chris I. Baker, Wilma A. Bainbridge
---
This OSF repository contains materials from 'The Features that Drive the Memorability of Objects', out now in Science Advances!
<br>
When using any files from this repository for your own research, please use the following citation:
- Kramer, M. A., Hebart, M. N., Baker, C. I., & Bainbridge, W. A. (2023). The features underlying the memorability of objects. *Science Advances*, 9(17). https://doi.org/10.1126/sciadv.add2981
---
This repository contains the following files:
1. ContextPlots.zip
A .zip archive containing the plots of memorability across context size for each of the 1,894 THINGS concepts.
2. normed_features_per_49_dimensions_tfidf.xlsx
contains semantic feature norms of THINGS dimensions derived using GPT-3
3. regression_weights_49d.csv
contains a csv of 50 (49 + intercept) beta weights from the omnibus model described in the manuscript
4. THINGS_Memorability_scores.csv
contains corrected recognition (CR) scores for all 26,107 THINGS images.
5. THINGS_Typicality_Table.csv
contains typicality metrics for all THINGS object concepts. Includes typicality derived from representational similarity and CNN network similarity.
6. Concept_to_category_linking.csv
contains a table with each concept as a row, includes CR, higher category membership, and behavioral and dimension-based typicality scores.
