Metadata-Version: 2.1
Name: cni-tlbx
Version: 1.0.0
Summary: computational neuroimaging toolbox
Home-page: https://github.com/ccnmaastricht/CNI_toolbox
Author: Mario Senden
Author-email: mario.senden@maastrichtuniversity.nl
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)
Classifier: Operating System :: OS Independent
Requires-Python: >=3
Description-Content-Type: text/markdown
Requires-Dist: numpy (>=1.18.3)
Requires-Dist: scipy (>=1.4.1)
Requires-Dist: opencv-python (>=4.2.0.34)

## Files
This repository contains four files.
1. `PEA.py`     - class implementation of Fourier analysis of phase-encoded stimuli.
4. `HGR.py`     - class implementation of linear RF model based on hashed Gaussians.
3. `pRF.py`     - class implementation of population receptive field mapping.
4. `IRM.py`     - class implementation of input-referred model estimation.
5. `gadgets.py` - collection of auxiliary tools (used by main tools).


