Metadata-Version: 2.4
Name: hrfunc
Version: 0.4.2
Summary: Tools for modeling HRFs and estimating neural activity from fNIRS brain signals
Author-email: Denny Schaedig <dennys@wustl.edu>
License-Expression: BSD-3-Clause
Project-URL: Homepage, https://github.com/dennys246/hrfunc
Project-URL: Documentation, https://github.com/dennys246/hrfunc
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: mne
Requires-Dist: mne_nirs
Requires-Dist: scipy
Requires-Dist: nilearn
Requires-Dist: matplotlib
Dynamic: license-file

# HRFunc
HRFunc is a python preprocessing and modeling tool for estimating neural activity from hemoglobin concentration through modeling hemodynamic response functions through the brain recorded from fNIRS signals and deconvolving neural activity. Toeplitz deconvolution with Tikhonov regularization is employed for HRF and neural activity estimation. 
