pRFpy is a package that allows you to simulate and fit population receptive field (pRF) parameters from time series data.
To get started using these components in your own software, clone this repository, then run
python installer.py
this will try to install dependencies with conda, and if not possible, with pip. The only required dependencies are:
numpy>=1.16 scipy>=1.4 statsmodels>=0.8 joblib nilearn
To install dependencies with pip directly, run
python -m pip install -e .
prfpy is licensed under the terms of the GPL-v3 license. See the file
"LICENSE" for information on the history of this software, terms & conditions
for usage, and a DISCLAIMER OF ALL WARRANTIES.
All trademarks referenced herein are property of their respective holders.
Copyright (c) 2022--, Marco Aqil, Spinoza Centre for Neuroimaging, Amsterdam.