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Visual Field Coverage (ViFiCov) visualization in python.

Project description

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 vificov

Option B: install from github repository

  1. (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
  1. 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.

Project details


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