Python vs. Neuro-Physiological (PvsNP) serves as a toolbox for:

• Statistical analysis of neurophysiological data, including but not limited to cell selectivity, place cell analysis, and etc.
• Graph Theoretical Analysis of networks of neurons.
• Data Visualization tool - see the "full picture" of the data garnered from experiments with integration of calcium imaging movies, behavioral videos, and data processing results.
• Deconvolution of calcium imaging data. (Deprecated)

For any feature requests, feel free to create an issue.

_{^{image source}}

1. Download and install Anaconda (Python 3.X)

2. Download and install Docker

3. Clone the repository:

git clone https://github.com/smu160/PvsNP.git

3. Navigate into your local repository and build the Docker image:

cd PvsNP
docker build . -t jupyter

4. Use the image to run a container:

docker run -it -p 8888:8888 jupyter

If you need to mount data to the container, then use the following command:

docker run -it -p 8888:8888 -v source_directory:target_directory jupyter

5. You should see something along the lines of:

...
    Or copy and paste one of these URLs:
        http://(2958ngdf42t or 127.0.0.1):8888/?token=XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX

Now open your browser window and go to the URL that was created for you.

1. Download and install Anaconda (Python 3.X)

2. Clone the repository:

git clone https://github.com/smu160/PvsNP.git

3. Navigate into your local repository and create your environment:

cd PvsNP
bash create_env.sh

Create an issue

A list of dependencies can be found in the environment file