dimpred

This repository holds the code for the DimPred toolbox. To use it with models we fitted as part of our project, download the fitted models from the corresponding OSF repository (download files/data/interim.7z and, after extraction, use the model_... of your choice).

A detailed how-to use this toolbox is in the making.

🚨 Please also see the paper accompanying this repository. 🚨

The directory structure

├── README.md
├── dimpred
│   └── __init__.py
│   └── fit.py
│   └── call.py
│
├── .gitignore
├── LICENSE.md
├── environment.yml
├── setup.py

📃 Citation

If you use any of this code, please cite our associated paper as follows:

@article{Kaniuth_2025,
	author={Kaniuth, Philipp and Mahner, Florian P and Perkuhn, Jonas and Hebart, Martin N},
	title={A high-throughput approach for the efficient prediction of perceived similarity of natural objects},
	year={2025}, month=apr}
	DOI={10.7554/elife.105394.1},
	url={http://dx.doi.org/10.7554/eLife.105394.1},
	publisher={eLife Sciences Publications, Ltd}
}