Synaptic Connectivity

Comprehensive tools for generating neural connectivity patterns across different types of neural models.

What you’ll find here

• The fundamental API and data structures of braintools.conn, including ConnectionResult, composable operators, and unit handling

• Recipes for point-neuron connectivity such as random, distance-dependent, kernel-based, and degree-constrained patterns

• Guidance on wiring multi-compartment and population abstractions, using spatial metadata, and layering complex networks

• Best practices for interoperability with simulation backends (BrainState/BrainUnit) and exporting connectivity metadata

• Tutorial 1: Basic Connectivity Patterns
• Tutorial 2: Spatial Connectivity
• Tutorial 3: Network Topologies
• Tutorial 4: Advanced Patterns - E-I Networks and Kernel-Based Connectivity