{ "info": { "author": "Marian Schneider", "author_email": "marian.schneider@maastrichtuniversity.nl", "bugtrack_url": null, "classifiers": [], "description": "**Vi** sual **Fi** eld **Cov** erage (ViFiCov) visualization in python.\n\nThis package takes as input parameters that describe a 2D Gaussian model\nfor a set of voxels and returns projections of the voxels\u2019 visual field\ncoverage.\n\nInstallation\n------------\n\nFor installation, follow these steps:\n\nOption A: install via pip\n~~~~~~~~~~~~~~~~~~~~~~~~~\n\n.. code:: bash\n\n pip install vificov\n\nOption B: install from github repository\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n0. (Optional) Create conda environment\n\n.. code:: bash\n\n conda create -n env_vificov python=3.6\n source activate env_vificov\n conda install pip\n\n1. Clone repository\n\n.. code:: bash\n\n git clone https://github.com/MSchnei/vificov.git\n\n2. Install vificov with pip\n\n.. code:: bash\n\n pip install /path/to/cloned/vificov\n\nHow to use\n----------\n\n1. Adjust the csv file\n~~~~~~~~~~~~~~~~~~~~~~\n\nAdjust the information in the config_default.csv file, such that the\nprovided information is correct. It is recommended to make a specific\ncopy of the csv file for every subject and project.\n\n2. Run pyprf_motion\n~~~~~~~~~~~~~~~~~~~\n\nOpen a terminal and run\n\n::\n\n vificov -config path/to/custom_config.csv\n\nReferences\n----------\n\nThis application is based on the following work:\n\n- Le, R., Witthoft, N., Ben-Shachar, M., & Wandell, B. (2016). The\n field of view available to the cortical reading circuitry. BioRxiv,\n 17, 1\u201319. https://doi.org/https://doi.org/10.1101/069369\n- Kok, P., Bains, L. J., Van Mourik, T., Norris, D. G., & De Lange, F.\n P. (2016). Selective activation of the deep layers of the human\n primary visual cortex by top-down feedback. 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