The framework's goals are as follows:
- Provide a set of core-interfaces and their implementing models that have properties that can be tuned to enable association between components.
- Provide a scalable distributed execution platform for the neural-network since, some neural-system might consist of billions of components.
- Design the tools and libraries that will enable productive neural-system design.
- Provide tools that can be used to study the state of a neural-system and its state-derived data.