prfpy_csenf
Version of prfpy with added functions to fit contrast sensitivity data
Original prfpy package developed by Marco Aqil
Contrast sensitivity extensions developed by Marcus Daghlian
Adapted from matlab versions developed by Carlien Roelofzen
See example notebook for introduction
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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
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.