Update March 2018: This package is provided with the hope that it is useful for reproducing the experiments in the papers mentioned below. It is however not actively maintained
This is a Python package that implements several methods for the joint estimation of HRF and activation patterns (aka beta-map) from fMRI (BOLD) signal.
If you use this software, please cite (at least) one of the following papers
"Data-driven HRF estimation for encoding and decoding models", Fabian Pedregosa, Michael Eickenberg, Philippe Ciuciu, Bertrand Thirion and Alexandre Gramfort. URL: http://hal.inria.fr/hal-00952554/en
"HRF estimation improves sensitivity of fMRI encoding and decoding models", Fabian Pedregosa, Michael Eickenberg, Bertrand Thirion and Alexandre Gramfort. URL: http://hal.inria.fr/hal-00821946/en
hrf_estimation is a pure Python package and can be installed through the Python Package Index (PYPI):
pip install -U hrf_estimationYou can also download the source code from the PYPI website or get the latest sources from github
Documentation and function reference is available at https://pythonhosted.org/hrf_estimation/
The newest version can alway be grabbed from the git repository. Feel free to submit issues or patches.
Fabian Pedregosa <f@bianp.net>
Michael Eickenberg <michael.eickenberg@nsup.org>
Yaroslav Halchenko, Bug reports