Code base for "Joint coding of visual input and eye/head position in V1 of freely moving mice"

Setup for installing conda environment and dependencies

To install the repo there is a conda environment that will install the necessary packages. Make sure you are in the pytorchGLM Github directory.
Use command:
conda env create -f environment.yaml

After installing activate the conda environment:
conda activate pytorchGLM

Once in the environment go to this site to install the appropriate pytorch version:
https://pytorch.org/get-started/locally/

After pytorch is correctly installed run this command to install pip reqruirements:
pip install -r requirements.txt

To install pytorchGLM, in the repo folder use:
pip install -e .

Assumed data file structure

The base part of this code assumes a specific file structure convention to load data.

• Base_Folder
  • Date
    • Animal_Name
      • Experiment_Condition

For example in the Niell Lab convention:

• FreelyMovingEphys
  • 070921
    • J553RT
      • fm1
      • hf1_wn

This code will then create directories following this convension.

Parameters

To view and edit parameters see pytorchGLM/parameters.py file