Resources

We believe in reproducible science. We strive to make the (software) tools that we develop in our research publicly available. Below you can find a list of our main projects, all available in Github. You are welcome to contribute via the same platform, by opening a pull request or raising an issue. If you find a bug, please let us know! (either via github or e-mail.).

In the Publications page you also find code and data related to specific publications (those are not listed here below).

Software

stimupy: A pure-Python package for creating new and existing visual stimuli commonly used in the study of contrast, brightness, lightness, and other aspects of visual perception.
multyscale: Multyscale spatial filtering models of brightness/lightness perception in python.
domijan2015: Re-implementation of Domijan's (2015) brightness perception model.
mlds: Python wrapper for the MLDS (Maximum Likelihood Difference Scaling) R package
HRL: Low-level library for running high resolution luminance experiments in Python.

Teaching materials and tutorials

Signal processing and Fourier analysis for Vision Scientists, presented at ECVP 2022
Notebook accompanying poster by Pohlmann, Schmittwilken & Maertens (2021).. A strategy for presenting computational models. V-VSS 2021.