VS2N (Visualization tool for Spiking Neural Networks) is an interactive web-based tool. It is designed to analyze and visualize collected information from SNN simulations.
VS2N (**V**isualization tool for **S**piking **N**eural **N**etworks) is an interactive web-based tool. It is designed to analyze and visualize collected information from SNN simulations.
We can use VS2N to:
- Follow the development of our network during training.
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## Installation
### 1- Install MongoDB
Use the following [link](https://docs.mongodb.com/manual/administration/install-community/) to install MongoDB.
### 2- Install Apache Spark and other dependencies
Execute this command to install the needed libraries
1- Add MongoDB credentials in `default.config.py` and rename it to `config.py`
If you want to add authentication to VS2N (optional):
1. Add MongoDB credentials in `default.config.py` and rename it to `config.py`
2- Generate users credentials (Email/Password) using `python addUser.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
Using Python >= 3.0 (**make sure MongoDB is running**) run `python VS2N.py` to start VS2N. If everything is fine, the web interface should appear automatically.