This project helps extract and process MED-PC (https://www.med-associates.com/med-pc-v/) recording data. The overall goal is to train mice to associate a tone with a reward(sugary liquid). MED-PC records the times that the tones are played, when the mice enter/exit the port where the reward is dispensed, and the relevant metadata. The experiment is usually run with one subject for a recording that takes about a hour for multiple days. The data processing will calculate various metrics that displays or averages all the trials(each tone going off in a session and it's associated port entry/exit) for each recording session for all the subjects.
Directory that has the Python source code used in the Jupyter Notebooks. All the original functions used in the notebooks will be imported from this.
Steps To Take
Step 0. Clone this repository
Check if you have the Git program on your computer. Do this on the Bash terminal(Linux), Powershell(Windows), and Terminal(Mac). In the terminal, type git then enter.
1 Use the command jupyter notebook --allow-root in your terminal
1.1 If a browser window doesn't pop up with Jupyter notebooks, open up a browser window. Then copy and paste the URL given in the command line. It will be followed by To access the notebook, open this file in a browser: and Or copy and paste one of these URLs:
It should have a format similar to: http://localhost:8888/?token=gsOH0vx373NRzHUmDzwX9TFzBf5Wx6czWIr1irV7ERKBLmlK
2 Click on ./jupyter_notebooks in the Jupyter Notebooks GUI (Should be in the web browser)
Step 3. Run each Data Processing/Analysis Jupyter Notebooks