VS2N (Visualization tool for Spiking Neural Networks) is an interactive web-based tool, designed to analyze and visualize different collected information from SNN simulators, for a better understanding of different phenomena happening inside the network.

Features

• Modular nature
• Simulator-independent
• Scalability
• Dynamic analytics

Content

• Getting started
• VS2N MongoDB schemas
• Supported simulators
• Adding new visualization module
• Contribute
• Support
• License
• FAQ

Getting started

Installation

Execute this command to install the needed libraries

pip install -r requirements.txt

Execution

1- Add MongoDB credentials in default.config.py and rename it to config.py

2- Generate users credentials (Email/Password) using python addUser.py

3- Using Python >= 3.0 (make sure MongoDB is running) run python VS2N.py to start

Folder structure

VS2N.py          # Main script to start VS2N.
addUser.py       # Generate user credentials.
defaut.config.py # Default configuration file.
img/             # Folder contains images.
assets/          # Folder contains CSS file.
src/             # Source directory.
|- Modules/      # Folder of the existing modules.
|- static/       # Contains static files (.js, .css, etc).
|- templates/    # Static html files + template for new modules.
|- Global_Var.py # Contains global variables of VS2N.

Contribute

• Issue Tracker: https://gitlab.univ-lille.fr/hammouda.elbez/VS2N/-/issues
• Source Code: https://gitlab.univ-lille.fr/hammouda.elbez/VS2N

Support

If you are having issues, please let us know.

hammouda.elbez@univ-lille.fr

License

The project is licensed under the CeCILL-B license.