Vi sual Fi eld Cov erage (ViFiCov) visualization in python.

This package takes parameters that describe a 2D Gaussian model for a set of voxels and returns projections of the voxels' visual field coverage. It can be used as an add-on to packages from the pyprf family (pyprf, pyprf_motion, pyprf_feauture), which all estimate 2D Gaussian parameters for a set of given voxels.

Installation

For installation, follow these steps:

Option A: install via pip

pip install vificov

Option B: install from github repository

0. (Optional) Create conda environment

conda create -n env_vificov python=3.6
source activate env_vificov
conda install pip

1. Clone repository

git clone https://github.com/MSchnei/vificov.git

2. Install vificov with pip

pip install /path/to/cloned/vificov

How 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.