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.
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
## Features
- Modular nature: the visualizations are considered as modules, anyone can add new modules for a specific analysis or problematic.
- Modular nature
- Simulator-independent: any simulator can be used as long as the collected data follows a certain schema, which is supported by VS2N.
- Simulator-independent
- Scalability: backed by the combination of Apache Spark and MongoDB for data processing, VS2N offers the possibility to be deployed on multi-nodes or cluster for better performance.
- Scalability
- Dynamic analytics: VS2N provides the possibility to move in time with the evolution of the network, which is not possible with the majority of the existing tools, that are based on analyzing static data.
