Vi sual Fi eld Cov erage (ViFiCov) visualization in python.
This package takes as input parameters that describe a 2D Gaussian model for a set of voxels and returns projections of the voxels’ visual field coverage.
Installation
For installation, follow these steps:
Option A: install via pip
pip install vificovOption B: install from github repository
(Optional) Create conda environment
conda create -n env_vificov python=3.6
source activate env_vificov
conda install pipClone repository
git clone https://github.com/MSchnei/vificov.gitInstall vificov with pip
pip install /path/to/cloned/vificovHow to use
1. Adjust the csv file
Adjust the information in the config_default.csv file, such that the provided information is correct. It is recommended to make a specific copy of the csv file for every subject and project.
2. Run pyprf_motion
Open a terminal and run
vificov -config path/to/custom_config.csv
References
This application is based on the following work:
Le, R., Witthoft, N., Ben-Shachar, M., & Wandell, B. (2016). The field of view available to the cortical reading circuitry. BioRxiv, 17, 1–19. https://doi.org/https://doi.org/10.1101/069369
Kok, P., Bains, L. J., Van Mourik, T., Norris, D. G., & De Lange, F. P. (2016). Selective activation of the deep layers of the human primary visual cortex by top-down feedback. Current Biology, 26(3), 371–376. https://doi.org/10.1016/j.cub.2015.12.038
License
The project is licensed under GNU General Public License Version 3.
1 maintainer
Release files for vificov 1.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| vificov-1.0.7.tar.gz | 18.4 kB | Details |
Release files / vificov-1.0.7.tar.gz
| Download URL | vificov-1.0.7.tar.gz |
|---|---|
| Size | 18.4 kB |
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