prfmodel

How to use prfmodel

A modern Python implementation for population receptive field model fitting.

Installation

To install the development version of prfmodel from GitHub, run:

git clone git@github.com:popylar-org/prfmodel.git
cd prfmodel
python -m pip install .

The package relies on Keras for multi-backend model fitting. To install prfmodel with the Tensorflow backend, run:

python -m pip install .[tensorflow]

To install the PyTorch backend, run:

python -m pip install .[torch]

To install the JAX backend, run:

python -m pip install .[jax]

Documentation

The online documentation is available at: https://popylar-org.github.io/prfmodel/.

The local documentation can be build as HTML files with:

# In prfmodel directory
cd docs/
make html

The documentation can then be opened in the browser from _build/html/index.html.

Development

The project setup for developers is documented in project_setup.md. To make an editable install with development dependencies, run:

python -m pip install -e .[dev]

The test suite can be run with:

python -m pytest

Credits

This package was created with Copier and the NLeSC/python-template.

Copyright

2025, Netherlands eScience Center, Vrije Universiteit Amsterdam, Netherlands Institute for Neuroscience