Skip to main content

A module for estimating Hemodynamical Response Function from functional MRI data

Project description

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

https://raw.github.com/fabianp/hrf_estimation/master/doc/estimation_natural_images.png

Installation

hrf_estimation is a pure Python package and can be installed through the Python Package Index (PYPI):

pip install -U hrf_estimation

You 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.

Authors

Fabian Pedregosa <f@bianp.net>

Michael Eickenberg <michael.eickenberg@nsup.org>

Thanks to

Yaroslav Halchenko, Bug reports

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hrf_estimation-0.7.tar.gz (14.7 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page