Audio_2AFC_Analysis

Simulations and analysis for our auditory change-point task

Repository Structure

In the Theory/ folder, we gather code that illustrates important concepts in our work.

The simulations.ipynb file is a Jupyter notebook that contains our current research notes and figures.

The Python_modules/mmcomplexity.py file is a Python module in which we store the important functions and classes that we define.

Development Workflow

• All contributors pull/push from dev, and work on individual feature branches.
• Commits must be frequent.
• All data and images should be tracked with git-lfs.
• Only tested code should be merged to dev.
• Only stable code should be merged to master.
• All functions and classes should be commented with docstrings.
• I'll try to generate automatic documentation with Sphinx.
• If we ever need a new module in our conda environment, we should update the .yml file in this repo.

Reproduce Our conda Environment

• Install conda if it is not already installed on your computer.
• Make sure it is up to date by typing $ conda update conda in a terminal window (note: don't type the dollar sign, this just signifies that it is a terminal command).
• Get our conda_environment.yml file somewhere on your computer (the usual thing to do is to clone this repo)
• Follow these 3 steps on the command line.

Note

If your newly created environment doesn't show up in your list of Jupyter kernels, follow these steps.