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### Description
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VS2N [^1] (**V**isualization tool for **S**piking **N**eural **N**etworks) is an interactive web-based tool. It is designed to analyze and visualize the activity we collect from SNN simulators.
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Nam sagittis augue vel imperdiet rutrum. Ut ornare est quis feugiat placerat. Praesent lacus massa, posuere non diam accumsan, posuere sollicitudin purus. Fusce pharetra nunc quis dolor gravida, ut faucibus enim venenatis. Nam ultricies ex ac risus tincidunt pellentesque. Nam facilisis dui quis leo porta mollis. Curabitur a feugiat ipsum. Suspendisse potenti. Fusce suscipit sem nec placerat vehicula. Suspendisse mauris diam, imperdiet ac suscipit quis, semper ac sem. Vivamus porta, dolor vel mattis rutrum, nisi lorem sodales eros, id congue dolor erat sit amet lectus. Sed vitae quam eu magna aliquam iaculis sit amet et justo. Nam scelerisque laoreet justo, ac mattis est finibus sed.
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We can use VS2N to:
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- Follow the evolution of our network during training.
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- Validate hypotheses.
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- Debug any newly implemented component.
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VS2N is a module-based tool written in Python, those modules concern
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defined questions or elements to visualize, and it is possible to add
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new modules. Each module contains different visualizations.
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Initial requirements for contributions :
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- Python (Flask)
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- Dash Plotly (to implement different visualizations)
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- Apache Spark (for any heavy pre-calculations if needed)
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- MongoDB (to store and read data)
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### Installation
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## Useful Scripts
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#### 1- Install MongoDB
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Use the following [link](https://docs.mongodb.com/manual/administration/install-community/) to install MongoDB.
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#### 2- Install Apache Spark and other dependencies
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Execute this command to install the needed libraries
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```console
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pip install -r requirements.txt
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```
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#### Execution
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1. If you want to add authentication to VS2N (optional):
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- Generate users credentials (Email/Password) using `python manageUsers.py`
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<!-- Examples of simulations using this tool are available here:
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2. Rename `default.config.py` to `config.py`
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3. If a password protects MongoDB:
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- Add MongoDB credentials in `config.py`
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4. 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.
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### Docker image
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You can also use a docker image to run VS2N : https://hub.docker.com/r/helbez/vs2n
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<!--## Useful Scripts
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Examples of simulations using this tool are available here:
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- [Example](#Usefull-Scripts)
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- [Example](#Usefull-Scripts)
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## Official Documentation
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## References |
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\ No newline at end of file |
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VS2N Documentation: \
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https://gitlab.univ-lille.fr/bioinsp/VS2N/-/wikis/home
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## References
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[^1]: H. Elbez, M. K. Benhaoua, P. Devienne and P. Boulet, "VS2N : Interactive Dynamic Visualization and Analysis Tool for Spiking Neural Networks," 2021 International Conference on Content-Based Multimedia Indexing (CBMI), pp. 1-6, 2021 |
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\ No newline at end of file |
