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
Metadata
1 maintainer
Release files for hrf_estimation 0.5.2
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-0.5.2.tar.gz | 14.3 kB | Details |
Release files / hrf_estimation-0.5.2.tar.gz
| Download URL | hrf_estimation-0.5.2.tar.gz |
|---|---|
| Size | 14.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
337a09a5dbd3864db355af5ad0b33dda7c0f327465a109e66860f5b4ea9778bc
|
|
BLAKE2b-256 checksum How to use checksums |
11870b8d10f4999d8acee4a112cf91537035dc338468f2c83a6e99dad1acab66
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
