Hemodynamic Response Function (HRF) estimation from functional MRI data
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
Installation
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
Documentation and function reference is available at https://pythonhosted.org/hrf_estimation/
Development
The newest version can alway be grabbed from the git repository. Feel free to submit issues or patches.
Thanks to
Yaroslav Halchenko, Bug reports
1 maintainer
Release files for hrf_estimation 0.5.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| hrf_estimation-0.5.5.tar.gz | 14.5 kB | Details |
Release files / hrf_estimation-0.5.5.tar.gz
| Download URL | hrf_estimation-0.5.5.tar.gz |
|---|---|
| Size | 14.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
f4ac02f9270a4be2e338681b562f8059256a1ab73e1eb1871bc30666199d9554
|
|
BLAKE2b-256 checksum How to use checksums |
3f6d5b0908298aa26f952ffc36ba251e0129be2efd84ac08be418b00cda0d939
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
