Jupyter notebooks and utils for data analysis of experiment Brisbane

Experiment Brisbane is a recall and recognition memory task applied to memory of short texts. It was carried out online and it available here.

• https://www.cognitionexperiments.org/brisbane

Our aim to analysis the recall and recognition memory results especially with respect to how well they are predicted by three different theoretical models.

Installation

• Clone the repository and change directories so that it is your working directory:

git clone https://github.com/lawsofthought/gallium.git
cd gallium

• Create a virtual environment. It can be located anywhere, but I'll just assume it is in your home directory. After it is created, activate it.

virtualenv ~/gallium-virtual-env
source ~/gallium-virtual-env/bin/activate

• Pip install all your required Python packages. These are in the text file requirements.txt.

pip install -r requirements.txt

• Now deal with the annoying issue that the setup of gustavproject did not compile the external Fortran modules. First, go to the source, make it, and popd back to where you were.

pushd ~/gallium-virtual-env/src/gustav
make
popd

• Get all the "fat" files

git fat init
git fat pull http