@peterdoohan @charlesburns
-
SSH into the SWC cluster
-
Copy this folder to your working directory or navigate to:
cd /ceph/behrens/peter_doohan/tutorials -
Make a new conda envionment from the requirements.txt in this repo:
conda env create -f environment.yml --name GridMaze_tutorial conda activate GridMaze_tutorial -
Get some cluster resources and spin up a jupyter server (optional)
srun --nodes=1 --ntasks-per-node=1 --cpus-per-task=8 --time=4:00:00 --mem=32G --pty bash -i jupyter-notebook --no-browser --ip=0.0.0.0 --port 8888 # link notebook to this server
We have 3 notebook tutorials that go with the in-person presentation
-
maze_representations.ipynb Details how mazes are represented in code (Dataset: goalNav_mFC)
-
accessing_maze_data.ipynb Explains how experiments are represented on disk and how you can load that data for your own analyses (Dataset: goalNav_mFC)
-
using_unitmatch.ipynb Quick demonstration on how to match cells (recorded with ephys) across days and session types (Dataset: goalNav_mEC)