Data

Learning-oriented, hands-on notebooks for structures that represent, store, or generate neural connectivity. Start with general compressed sparse storage, continue to explicit fixed-count constraints, and finish with connectivity generated just in time.

If you are brand new, start with Quickstart.

For binary activity representations and event-driven behavior, use the Events tutorials.

Data

• CSR and CSC Sparse Matrices
• Fixed Connection Count Structures
• Just-in-Time Connection Matrices